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Overview

Coborn’s, Inc. is looking for a Director of Production Facilities to lead our centralized bakery and commissary operations.

As an employee-owned company, we take pride in the work we do and the impact we have on our guests, our stores, and the communities we serve. In this role, you’ll provide both strategic and hands‑on leadership, helping ensure high‑quality products, strong food safety standards, and efficient production that supports our operations across all locations.

Additional Duties Include:

• Lead the strategy, direction, and day‑to‑day execution of centralized production operations, aligning decisions with company goals and long‑term growth
• Bring an employee‑owner mindset to the role, taking pride in outcomes and treating the business like it’s your own
• Oversee bakery and commissary operations to ensure consistent quality, efficiency, and dependable service to stores
• Drive continuous improvement across processes, labor planning, and production systems, always looking for better, more efficient ways to operate
• Ensure all food safety, sanitation, and regulatory standards are not only met but upheld as a shared team commitment
• Own financial performance, including budget, P&L, and key metrics, with a focus on smart decision‑making and sustainable results
• Use data and insights to identify opportunities, solve challenges, and guide operational decisions
• Partner closely with Merchandising, Operations, Supply Chain, and Store teams to support strong execution and a remarkable guest experience
• Lead, coach, and develop a high‑performing leadership team, building trust, accountability, and future leaders
• Foster a culture where team members feel ownership in their work, support one another, and contribute to shared success as employee‑owners

What's In It For Me?

Our remarkable employees are at the heart of everything we do. At Coborn’s, we’re committed to creating a supportive and rewarding workplace—one that offers a vibrant, team‑oriented environment, ongoing career growth, and meaningful benefits. As an employee‑owned company, we believe in investing in our people and their futures.

We’re proud to offer a variety of benefits to both our full‑time and part‑time employees, including:

• Medical Insurance with Health Savings Account (HSA) and Flexible Spending Account (FSA) options
• Dental and Vision Insurance
• 401(k) plan options – we also match up to 20% of the first 5% contributed
• Participation in our Employee Stock Ownership Program (ESOP) – yes, we’re employee‑owned! Our team members benefit from the success of the company through this company‑sponsored benefit!
• Education benefits, including tuition discounts and scholarship programs
• 10% employee discount on grocery items, with additional franchise‑specific discounts available at company‑owned Ace Hardware, Caribou Coffee, Erbert and Gerbert’s, and Pet Supplies Plus locations.
• Paid Time Off (PTO/Vacation)
• Paid Military Leave
• Employee recognition programs with monetary rewards, including in‑store vouchers, years of service, and employee of the month
• Employee Health & Wellness Programs, Challenges and Resources – to assist our team members in living a life of wellbeing!
• Get Paid Daily with DailyPay – for employees who would like access to their pay before payday, we offer this great benefit!
• Employee Assistance Program (EAP) – unlimited phone access to legal, financial, and work‑life services and up to five free in‑person counseling sessions, per situation/issue, per year
• Access to a national discount marketplace for travel, electronics, auto/home insurance, entertainment and more!
• Tools, resources, and opportunities for career growth and development

Qualifications

Education & Experience

• Bachelor’s degree in Business, Operations, Food Science, or related field (or equivalent experience)
• 8+ years of leadership experience in food production, bakery, or commissary environments
• Experience leading large teams and complex operations with P&L responsibility

Certifications (Preferred)

• HACCP, PCQI, ServSafe Manager, SQF/BRC
• Lean or Six Sigma

We are an EEO/AA Employer – All qualified individuals, including minorities, females, veterans and individuals with disabilities are encouraged to apply.

Pay Range

USD $121,000.00 – USD $202,000.00 /Yr.

#J-18808-Ljbffr

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

The opportunity

Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions. Additionally, you will engage with life sciences stakeholders to understand their unique challenges and tailor AI solutions accordingly.

In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on-premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high-performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions. You will also focus on ensuring compliance with healthcare regulations while developing AI solutions for life sciences applications.

Your key responsibilities

As a Manager in AI Native Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.

Your responsibilities will include:

• Leading workstream delivery and ensuring the effective management of processes and projects.

• Continuously improving processes by identifying innovative solutions through research and analysis.

• Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.

• Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.

• Identifying and developing new business opportunities within the life sciences domain.

• Collaborating with life sciences professionals to tailor AI solutions that enhance commercial and patient outcomes and streamline clinical workflows.

• Identifying opportunities for additional services and managing engagement economics.

Skills and attributes for success

To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.

The following attributes will make a significant impact:

• Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.

• Strong judgment in selecting methods and techniques for obtaining results.

• Experience in leveraging AI to support drug discovery and development processes.

• Ability to lead teams effectively in navigating the regulatory landscape of life sciences.

• Experience in managing client relationships and delivering high-quality service.

• Ability to lead teams effectively and manage change within the organization.

To qualify for the role, you must have

• A Bachelor’s degree required (4-year degree).

• 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning

• 2-4 years of experience directly managing technical teams

• Strong skills in Python

• Ability lead, collaborate, and communicate effectively with diverse, hybrid and global teams

• Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform

• Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch

• Experience with natural language processing and deep learning

• Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions

• Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation

• Experience with model retraining and feedback loop methodologies

• Experience with model and solution monitoring and reporting

• Understanding of data structures, data modeling and software engineering best practices

• Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques

• Experience with life science commercial operations data standards and interoperability protocols.

• Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements

• Skills in Technical Design Optimization

• Strong relationship‑building skills

• Demonstrated client trust and value

• Digital fluency and emotional agility

• Commercial acumen and negotiation skills

• Proven ability to lead teams and manage change

Ideally, you’ll also have

• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them

• Master’s degree Computer Science, Mathematics, Physical Sciences, or other quantitative field

• Experience working with diverse teams to deliver complex solutions

• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C

• Experience fine‑tuning Generative AI models

• Experience in managing complex projects with multiple stakeholders

• A strong understanding of industry trends and emerging technologies in life sciences

• Skills in data visualization and storytelling with data

• Experience with image processing techniques and/or speech and audio processing and analysis

What we look for

We seek individuals who are not only technically proficient but also possess the ability to think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in the field of AI and data science. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.

What we offer you

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

• Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client‑serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.

• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on‑going basis.

For those living in California, please click here for additional information.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at

#J-18808-Ljbffr

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

The opportunity

Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions. Additionally, you will engage with life sciences stakeholders to understand their unique challenges and tailor AI solutions accordingly.

In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on-premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high-performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions. You will also focus on ensuring compliance with healthcare regulations while developing AI solutions for life sciences applications.

Your key responsibilities

As a Manager in AI Native Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.

Your responsibilities will include:

• Leading workstream delivery and ensuring the effective management of processes and projects.

• Continuously improving processes by identifying innovative solutions through research and analysis.

• Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.

• Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.

• Identifying and developing new business opportunities within the life sciences domain.

• Collaborating with life sciences professionals to tailor AI solutions that enhance commercial and patient outcomes and streamline clinical workflows.

• Identifying opportunities for additional services and managing engagement economics.

Skills and attributes for success

To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.

The following attributes will make a significant impact:

• Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.

• Strong judgment in selecting methods and techniques for obtaining results.

• Experience in leveraging AI to support drug discovery and development processes.

• Ability to lead teams effectively in navigating the regulatory landscape of life sciences.

• Experience in managing client relationships and delivering high-quality service.

• Ability to lead teams effectively and manage change within the organization.

To qualify for the role, you must have

• A Bachelor’s degree required (4-year degree).

• 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning

• 2-4 years of experience directly managing technical teams

• Strong skills in Python

• Ability lead, collaborate, and communicate effectively with diverse, hybrid and global teams

• Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform

• Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch

• Experience with natural language processing and deep learning

• Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions

• Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation

• Experience with model retraining and feedback loop methodologies

• Experience with model and solution monitoring and reporting

• Understanding of data structures, data modeling and software engineering best practices

• Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques

• Experience with life science commercial operations data standards and interoperability protocols.

• Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements

• Skills in Technical Design Optimization

• Strong relationship‑building skills

• Demonstrated client trust and value

• Digital fluency and emotional agility

• Commercial acumen and negotiation skills

• Proven ability to lead teams and manage change

Ideally, you’ll also have

• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them

• Master’s degree Computer Science, Mathematics, Physical Sciences, or other quantitative field

• Experience working with diverse teams to deliver complex solutions

• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C

• Experience fine‑tuning Generative AI models

• Experience in managing complex projects with multiple stakeholders

• A strong understanding of industry trends and emerging technologies in life sciences

• Skills in data visualization and storytelling with data

• Experience with image processing techniques and/or speech and audio processing and analysis

What we look for

We seek individuals who are not only technically proficient but also possess the ability to think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in the field of AI and data science. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.

What we offer you

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

• Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client‑serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.

• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on‑going basis.

For those living in California, please click here for additional information.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at

#J-18808-Ljbffr

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

The opportunity

Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions. Additionally, you will engage with life sciences stakeholders to understand their unique challenges and tailor AI solutions accordingly.

In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on-premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high-performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions. You will also focus on ensuring compliance with healthcare regulations while developing AI solutions for life sciences applications.

Your key responsibilities

As a Manager in AI Native Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.

Your responsibilities will include:

• Leading workstream delivery and ensuring the effective management of processes and projects.

• Continuously improving processes by identifying innovative solutions through research and analysis.

• Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.

• Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.

• Identifying and developing new business opportunities within the life sciences domain.

• Collaborating with life sciences professionals to tailor AI solutions that enhance commercial and patient outcomes and streamline clinical workflows.

• Identifying opportunities for additional services and managing engagement economics.

Skills and attributes for success

To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.

The following attributes will make a significant impact:

• Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.

• Strong judgment in selecting methods and techniques for obtaining results.

• Experience in leveraging AI to support drug discovery and development processes.

• Ability to lead teams effectively in navigating the regulatory landscape of life sciences.

• Experience in managing client relationships and delivering high-quality service.

• Ability to lead teams effectively and manage change within the organization.

To qualify for the role, you must have

• A Bachelor’s degree required (4-year degree).

• 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning

• 2-4 years of experience directly managing technical teams

• Strong skills in Python

• Ability lead, collaborate, and communicate effectively with diverse, hybrid and global teams

• Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform

• Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch

• Experience with natural language processing and deep learning

• Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions

• Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation

• Experience with model retraining and feedback loop methodologies

• Experience with model and solution monitoring and reporting

• Understanding of data structures, data modeling and software engineering best practices

• Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques

• Experience with life science commercial operations data standards and interoperability protocols.

• Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements

• Skills in Technical Design Optimization

• Strong relationship‑building skills

• Demonstrated client trust and value

• Digital fluency and emotional agility

• Commercial acumen and negotiation skills

• Proven ability to lead teams and manage change

Ideally, you’ll also have

• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them

• Master’s degree Computer Science, Mathematics, Physical Sciences, or other quantitative field

• Experience working with diverse teams to deliver complex solutions

• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C

• Experience fine‑tuning Generative AI models

• Experience in managing complex projects with multiple stakeholders

• A strong understanding of industry trends and emerging technologies in life sciences

• Skills in data visualization and storytelling with data

• Experience with image processing techniques and/or speech and audio processing and analysis

What we look for

We seek individuals who are not only technically proficient but also possess the ability to think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in the field of AI and data science. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.

What we offer you

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

• Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client‑serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.

• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on‑going basis.

For those living in California, please click here for additional information.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at

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Manager, Sales Engineering page is loaded## Manager, Sales Engineeringlocations: Remote (California, USA): Remote (Washington, USA)time type: Full timeposted on: Posted Yesterdayjob requisition id: R **Location:** US West Coast (Remote)SailPoint is the undisputed leader in AI-driven identity security. We provide the autonomous governance platform that modern enterprises trust to automate and streamline their identity journey. By marrying deep technical expertise with sharp business acumen, we deliver security solutions that accelerate business forward. We’re proud of the culture we’ve built, and our team has voted us a “Best Place to Work” for 15 consecutive years.We are looking for a dynamic, proactive, and operationally excellent leader to guide our Enterprise West Solution Engineering team. This is more than a management role; it's a strategic position critical to SailPoint’s growth. You will be at the forefront of our revenue organization, leading a world-class team of pre-sales engineers who are the technical heart of our sales process. Your mission is to **build a strong partnership with sales leadership**, and to coach, mentor, and empower your team to articulate the immense value of SailPoint’s platform to our largest and most strategic customers.What You Will Accomplish**Build & Lead a High-Performing Team**Hire, train, and retain the brightest pre-sales talent in the industry. You will be responsible for building a team that is motivated, technically proficient, and aligned with our sales objectives.**Coach & Develop Excellence**Foster a culture of continuous improvement through active coaching and mentorship. You will develop and implement training programs to enhance the team's sales, product, and technology skills.**Drive Operational Cadence**Establish and manage a strong operational rhythm for the team. This includes territory planning, account strategy, resource allocation, and ensuring your team is effectively demonstrating the value of SailPoint.**Be a Strategic Partner to Sales**Work in lockstep with Regional Sales Directors on account planning, strategy, and execution. You will be a key contributor to the sales leadership team, providing guidance and ensuring tight alignment.**Influence Product & Strategy**Act as the voice of the field, providing timely and insightful feedback to our Product Management, Marketing, and Engineering teams to influence the future direction of our platform.**Engage with Customers**Confidently represent SailPoint in front of technical and business audiences, from practitioners to C-level executives, influencing their perspective on identity security.What We Are Looking For**Leadership Experience****2-3 years of experience leading Solution Engineering (pre-sales) teams** within a fast-paced software or SaaS organization. You have a proven track record of meeting and exceeding team quotas.**Technical Experience****6-8 years of experience in pre-sales or leading technical teams** within a revenue-focused organization. You understand the technical sales motion inside and out.**People Leadership**You are an experienced and passionate manager who excels at **hiring, coaching, and retaining high-performing teams**. You lead with empathy and a desire to see your team members succeed.**Communication Skills**You possess excellent communication and presentation skills, with the ability to speak fluently to both technical and business audiences.**Domain Knowledge**While not required, an understanding of the solutions, market dynamics, and best practices in the **Identity Security** market is a significant plus.**The Path to Success (Milestones):**This path is designed for a leader who makes a difference—one who is proactive, strategic, and elevates the business beyond just managing workflows.**1-Month Milestones (The "Learning" Phase):*** Connect with the entire team and key sales leaders, shadowing customer meetings to absorb foundational product knowledge and understand the state of the business.* Audit the current operational rhythm and tools, identifying initial areas to apply a data-driven approach.**2-Month Milestones (The "Connecting" Phase):*** Transition from shadowing to active participation in customer meetings, establishing a regular, data-informed operational cadence with the team and sales peers while leading from the front.* Analyze team activities and opportunity data to identify initial trends, patterns of success, and specific areas for coaching.**3-Month Milestones (The "Contribution" Phase):*** Fully engage in top opportunities, coaching the team on deal strategy and value articulation in a steady rhythm after completing product training.* Present an initial strategic plan to sales leadership, outlining key initiatives for team development and business improvement based on data-driven observations.**6-Month Milestones (The "Performance" Phase):*** Function as a trusted strategic partner to sales leaders, consistently using data to identify what is working and what is not, while executing plans that have a measurable impact.* Provide consistent, insightful feedback to the Product and Strategy teams, solidifying your role as a key leader who is a force multiplier for the revenue organization.**Education:** A Bachelor’s in Computer Science is preferred but not required or equivalent real-world experience . We value experience and a proven ability to lead.Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint.As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint’s differing products, industries, and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We estimate the base salary, for US-based employees, will be in this range from (min-mid-max, USD):$142,660 - $240,531.20Base salaries for employees based in other locations are competitive for the employee’s home location.Benefits Overview1. Health and wellness coverage: Medical, dental, and vision insurance2. Disability coverage: Short-term and long-term disability3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D)4. Additional life coverage options: Supplemental life insurance for employees, spouses, and children5. Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account6. Financial security: 401(k) Savings and Investment Plan with company matching7. Time off benefits: Flexible vacation policy8. Holidays: 8 paid holidays annually9. Sick leave10. Parental support: Paid parental leave11. Employee Assistance Program (EAP) and Care Counselors12. Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options13. Health Savings Account (HSA) with employer contributionSailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law.Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations. NOTE: Any
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Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

The opportunity

Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions. Additionally, you will engage with life sciences stakeholders to understand their unique challenges and tailor AI solutions accordingly.

In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on-premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high-performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions. You will also focus on ensuring compliance with healthcare regulations while developing AI solutions for life sciences applications.

Your key responsibilities

As a Manager in AI Native Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.

Your responsibilities will include:

• Leading workstream delivery and ensuring the effective management of processes and projects.

• Continuously improving processes by identifying innovative solutions through research and analysis.

• Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.

• Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.

• Identifying and developing new business opportunities within the life sciences domain.

• Collaborating with life sciences professionals to tailor AI solutions that enhance commercial and patient outcomes and streamline clinical workflows.

• Identifying opportunities for additional services and managing engagement economics.

Skills and attributes for success

To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.

The following attributes will make a significant impact:

• Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.

• Strong judgment in selecting methods and techniques for obtaining results.

• Experience in leveraging AI to support drug discovery and development processes.

• Ability to lead teams effectively in navigating the regulatory landscape of life sciences.

• Experience in managing client relationships and delivering high-quality service.

• Ability to lead teams effectively and manage change within the organization.

To qualify for the role, you must have

• A Bachelor’s degree required (4-year degree).

• 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning

• 2-4 years of experience directly managing technical teams

• Strong skills in Python

• Ability lead, collaborate, and communicate effectively with diverse, hybrid and global teams

• Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform

• Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch

• Experience with natural language processing and deep learning

• Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions

• Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation

• Experience with model retraining and feedback loop methodologies

• Experience with model and solution monitoring and reporting

• Understanding of data structures, data modeling and software engineering best practices

• Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques

• Experience with life science commercial operations data standards and interoperability protocols.

• Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements

• Skills in Technical Design Optimization

• Strong relationship‑building skills

• Demonstrated client trust and value

• Digital fluency and emotional agility

• Commercial acumen and negotiation skills

• Proven ability to lead teams and manage change

Ideally, you’ll also have

• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them

• Master’s degree Computer Science, Mathematics, Physical Sciences, or other quantitative field

• Experience working with diverse teams to deliver complex solutions

• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C

• Experience fine‑tuning Generative AI models

• Experience in managing complex projects with multiple stakeholders

• A strong understanding of industry trends and emerging technologies in life sciences

• Skills in data visualization and storytelling with data

• Experience with image processing techniques and/or speech and audio processing and analysis

What we look for

We seek individuals who are not only technically proficient but also possess the ability to think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in the field of AI and data science. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.

What we offer you

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

• Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client‑serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.

• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on‑going basis.

For those living in California, please click here for additional information.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at

#J-18808-Ljbffr

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

The opportunity

Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions. Additionally, you will engage with life sciences stakeholders to understand their unique challenges and tailor AI solutions accordingly.

In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on-premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high-performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions. You will also focus on ensuring compliance with healthcare regulations while developing AI solutions for life sciences applications.

Your key responsibilities

As a Manager in AI Native Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.

Your responsibilities will include:

• Leading workstream delivery and ensuring the effective management of processes and projects.

• Continuously improving processes by identifying innovative solutions through research and analysis.

• Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.

• Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.

• Identifying and developing new business opportunities within the life sciences domain.

• Collaborating with life sciences professionals to tailor AI solutions that enhance commercial and patient outcomes and streamline clinical workflows.

• Identifying opportunities for additional services and managing engagement economics.

Skills and attributes for success

To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.

The following attributes will make a significant impact:

• Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.

• Strong judgment in selecting methods and techniques for obtaining results.

• Experience in leveraging AI to support drug discovery and development processes.

• Ability to lead teams effectively in navigating the regulatory landscape of life sciences.

• Experience in managing client relationships and delivering high-quality service.

• Ability to lead teams effectively and manage change within the organization.

To qualify for the role, you must have

• A Bachelor’s degree required (4-year degree).

• 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning

• 2-4 years of experience directly managing technical teams

• Strong skills in Python

• Ability lead, collaborate, and communicate effectively with diverse, hybrid and global teams

• Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform

• Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch

• Experience with natural language processing and deep learning

• Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions

• Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation

• Experience with model retraining and feedback loop methodologies

• Experience with model and solution monitoring and reporting

• Understanding of data structures, data modeling and software engineering best practices

• Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques

• Experience with life science commercial operations data standards and interoperability protocols.

• Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements

• Skills in Technical Design Optimization

• Strong relationship‑building skills

• Demonstrated client trust and value

• Digital fluency and emotional agility

• Commercial acumen and negotiation skills

• Proven ability to lead teams and manage change

Ideally, you’ll also have

• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them

• Master’s degree Computer Science, Mathematics, Physical Sciences, or other quantitative field

• Experience working with diverse teams to deliver complex solutions

• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C

• Experience fine‑tuning Generative AI models

• Experience in managing complex projects with multiple stakeholders

• A strong understanding of industry trends and emerging technologies in life sciences

• Skills in data visualization and storytelling with data

• Experience with image processing techniques and/or speech and audio processing and analysis

What we look for

We seek individuals who are not only technically proficient but also possess the ability to think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in the field of AI and data science. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.

What we offer you

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

• Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client‑serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.

• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on‑going basis.

For those living in California, please click here for additional information.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at

#J-18808-Ljbffr

We are seeking a strategic, hands‑on leader to build and scale a best‑in‑class, consumer‑facing digital insurance sales platform. This role owns the end‑to‑end digital business—from customer acquisition through quote, bind, and payment—while ensuring a seamless, compliant, and high‑converting user experience.

Sitting at the intersection of product, engineering, marketing, and insurance operations, this leader will define and execute the go‑to‑market (GTM) strategy while simultaneously driving platform innovation and performance. The role carries full accountability for digital revenue growth, customer experience, and unit economics across all markets.

Duties & Responsibilities

• Platform & Product Ownership
  • Own the end‑to‑end digital insurance platform including quoting, binding, payment, and customer experience
  • Lead platform architecture, system integrations, workflows, and data strategy
  • Drive UX/UI design and continuous optimization to improve conversion and reduce friction
  • Oversee development teams and vendors to deliver scalable, high‑performing solutions
• Go‑to‑Market Strategy & Execution
  • Develop and execute comprehensive GTM strategies aligned to growth and revenue goals
  • Define target segments, positioning, pricing strategy, and channel approach
  • Lead cross‑channel execution including digital acquisition, partnerships, and distribution
• Growth & Performance Management
  • Own core performance metrics including conversion rates, CAC, and revenue growth
  • Establish KPI frameworks and dashboards to monitor funnel performance
  • Continuously optimize acquisition, conversion, and retention through data‑driven insights
• Market & Competitive Intelligence
  • Conduct ongoing market research and competitive analysis to inform strategy
  • Identify emerging trends, customer needs, and opportunities for differentiation
• Cross‑Functional Leadership
  • Align engineering, product, marketing, underwriting, and operations around a unified strategy
  • Drive execution across teams with clear prioritization, timelines, and accountability
  • Act as the central decision‑maker balancing growth, compliance, and technical constraints

Background & Experience

• 8–15+ years of experience in P&C personal lines insurance products with focus on digital products, Insurtech, e‑commerce, or related fields.
• Proven track record of owning and scaling a revenue‑generating digital platform or funnel from product management, customer journey design, sales & marketing and conversion optimization.
• Demonstrated success in developing and executing GTM strategies in a digital environment.
• Experience working with engineering teams on platform architecture, APIs, and integrations.
• Strong analytical mindset with experience using data to drive decisions and performance improvements.
• Ability to lead cross‑functional teams and operate effectively in a fast‑paced, high‑growth environment.

Success in this role requires a hybrid leader who can seamlessly integrate product, technology, and growth strategy—owning outcomes from platform design through revenue generation.

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A major national laboratory in Livermore, California, is seeking an experienced Electronics Design Engineer. The role involves leading the design, development, and validation of various complex electronic systems for national security missions. Ideal candidates possess a Bachelor's degree and at least five years of relevant experience. Responsibilities include driving advanced integration of electronics and collaboration across teams to enhance product quality. Competitive salary range from $117,500 to $235,700, with additional benefits such as flexible work arrangements and learning opportunities.
#J-18808-Ljbffr

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

The opportunity

Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions. Additionally, you will engage with life sciences stakeholders to understand their unique challenges and tailor AI solutions accordingly.

In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on-premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high-performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions. You will also focus on ensuring compliance with healthcare regulations while developing AI solutions for life sciences applications.

Your key responsibilities

As a Manager in AI Native Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.

Your responsibilities will include:

• Leading workstream delivery and ensuring the effective management of processes and projects.

• Continuously improving processes by identifying innovative solutions through research and analysis.

• Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.

• Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.

• Identifying and developing new business opportunities within the life sciences domain.

• Collaborating with life sciences professionals to tailor AI solutions that enhance commercial and patient outcomes and streamline clinical workflows.

• Identifying opportunities for additional services and managing engagement economics.

Skills and attributes for success

To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.

The following attributes will make a significant impact:

• Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.

• Strong judgment in selecting methods and techniques for obtaining results.

• Experience in leveraging AI to support drug discovery and development processes.

• Ability to lead teams effectively in navigating the regulatory landscape of life sciences.

• Experience in managing client relationships and delivering high-quality service.

• Ability to lead teams effectively and manage change within the organization.

To qualify for the role, you must have

• A Bachelor’s degree required (4-year degree).

• 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning

• 2-4 years of experience directly managing technical teams

• Strong skills in Python

• Ability lead, collaborate, and communicate effectively with diverse, hybrid and global teams

• Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform

• Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch

• Experience with natural language processing and deep learning

• Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions

• Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation

• Experience with model retraining and feedback loop methodologies

• Experience with model and solution monitoring and reporting

• Understanding of data structures, data modeling and software engineering best practices

• Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques

• Experience with life science commercial operations data standards and interoperability protocols.

• Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements

• Skills in Technical Design Optimization

• Strong relationship‑building skills

• Demonstrated client trust and value

• Digital fluency and emotional agility

• Commercial acumen and negotiation skills

• Proven ability to lead teams and manage change

Ideally, you’ll also have

• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them

• Master’s degree Computer Science, Mathematics, Physical Sciences, or other quantitative field

• Experience working with diverse teams to deliver complex solutions

• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C

• Experience fine‑tuning Generative AI models

• Experience in managing complex projects with multiple stakeholders

• A strong understanding of industry trends and emerging technologies in life sciences

• Skills in data visualization and storytelling with data

• Experience with image processing techniques and/or speech and audio processing and analysis

What we look for

We seek individuals who are not only technically proficient but also possess the ability to think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in the field of AI and data science. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.

What we offer you

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

• Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client‑serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.

• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on‑going basis.

For those living in California, please click here for additional information.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at

#J-18808-Ljbffr

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

The opportunity

Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions. Additionally, you will engage with life sciences stakeholders to understand their unique challenges and tailor AI solutions accordingly.

In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on-premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high-performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions. You will also focus on ensuring compliance with healthcare regulations while developing AI solutions for life sciences applications.

Your key responsibilities

As a Manager in AI Native Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.

Your responsibilities will include:

• Leading workstream delivery and ensuring the effective management of processes and projects.

• Continuously improving processes by identifying innovative solutions through research and analysis.

• Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.

• Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.

• Identifying and developing new business opportunities within the life sciences domain.

• Collaborating with life sciences professionals to tailor AI solutions that enhance commercial and patient outcomes and streamline clinical workflows.

• Identifying opportunities for additional services and managing engagement economics.

Skills and attributes for success

To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.

The following attributes will make a significant impact:

• Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.

• Strong judgment in selecting methods and techniques for obtaining results.

• Experience in leveraging AI to support drug discovery and development processes.

• Ability to lead teams effectively in navigating the regulatory landscape of life sciences.

• Experience in managing client relationships and delivering high-quality service.

• Ability to lead teams effectively and manage change within the organization.

To qualify for the role, you must have

• A Bachelor’s degree required (4-year degree).

• 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning

• 2-4 years of experience directly managing technical teams

• Strong skills in Python

• Ability lead, collaborate, and communicate effectively with diverse, hybrid and global teams

• Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform

• Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch

• Experience with natural language processing and deep learning

• Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions

• Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation

• Experience with model retraining and feedback loop methodologies

• Experience with model and solution monitoring and reporting

• Understanding of data structures, data modeling and software engineering best practices

• Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques

• Experience with life science commercial operations data standards and interoperability protocols.

• Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements

• Skills in Technical Design Optimization

• Strong relationship‑building skills

• Demonstrated client trust and value

• Digital fluency and emotional agility

• Commercial acumen and negotiation skills

• Proven ability to lead teams and manage change

Ideally, you’ll also have

• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them

• Master’s degree Computer Science, Mathematics, Physical Sciences, or other quantitative field

• Experience working with diverse teams to deliver complex solutions

• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C

• Experience fine‑tuning Generative AI models

• Experience in managing complex projects with multiple stakeholders

• A strong understanding of industry trends and emerging technologies in life sciences

• Skills in data visualization and storytelling with data

• Experience with image processing techniques and/or speech and audio processing and analysis

What we look for

We seek individuals who are not only technically proficient but also possess the ability to think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in the field of AI and data science. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.

What we offer you

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

• Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client‑serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.

• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on‑going basis.

For those living in California, please click here for additional information.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at

#J-18808-Ljbffr

A leading professional services firm is seeking a Manager in AI Native Engineering to lead innovative data science solutions. You will work with clients to deliver complex solutions, manage project teams, and tailor AI technology to life sciences. The ideal candidate will have a Bachelor’s degree, relevant experience in AI and data science, and strong leadership skills. The position offers a competitive salary and a hybrid working environment with a focus on collaboration.
#J-18808-Ljbffr

A global consulting firm is seeking a Software Engineering Director for its Chicago office. The ideal candidate will lead the design and delivery of AI-enabled tooling and platforms that enhance client engagement and improve internal systems. This role requires strong engineering judgment and proficiency in modern software practices. Candidates with experience in cloud-native architectures and AI tooling will thrive in this fast-paced environment. A comprehensive benefits package is included, plus a salary range of $205,000 to $235,000, contingent on various experience factors.
#J-18808-Ljbffr

Location: Anywhere in Country

At EY, we’re all in to shape your future with confidence.

We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.

The opportunity

Our Artificial Intelligence and Data team helps apply cutting edge technology and techniques to bring solutions to our clients. As part of that, you'll sit side-by-side with clients and diverse teams from EY to create a well-rounded approach to advising and solving challenging problems, some of which have not been solved before. No two days will be the same, and with constant research and development, you'll find yourself building knowledge that can be applied across a wide range of projects now, and in the future. You'll need to have a passion for continuous learning, stay ahead of the trends, and influence new ways of working so you can position solutions in the most relevant and innovative way for our clients. You can expect heavy client interaction in a fast-paced environment and the opportunity to develop your own career path for your unique skills and ambitions. Additionally, you will engage with life sciences stakeholders to understand their unique challenges and tailor AI solutions accordingly.

In this role, you will research, build, and implement scalable artificial intelligence systems that learn and make predictions tailored to business requirements across various environments, including cloud and on-premises. You will enhance data pipelines and storage, ensuring data is clean, accurate, and optimized for XOps processes. Additionally, you will monitor and evaluate learning processes to continuously improve high-performance models, collaborating with other data and analytics professionals to industrialize analysis into effective analytics solutions. You will also focus on ensuring compliance with healthcare regulations while developing AI solutions for life sciences applications.

Your key responsibilities

As a Manager in AI Native Engineering, you will play a pivotal role in delivering innovative solutions that drive business success. You will work with a wide variety of clients to deliver the latest data science and big data technologies. Your teams will design and build scalable solutions that unify, enrich, and derive insights from varied data sources across a broad technology landscape. You will help our clients navigate the complex world of modern data science, analytics, and software engineering. We'll look to you to provide guidance and perform technical development tasks to ensure data science solutions are properly engineered and maintained to support the ongoing business needs of our clients.

You will be joining a dynamic and interdisciplinary team of scientists and engineers who love to tackle the most challenging computational problems for our clients. We love to think creatively, build applications efficiently, and collaborate in both the ideation of solutions and the pursuit of new opportunities. Many on our team have advanced academic degrees or equivalent experience in industry.

Your responsibilities will include:

• Leading workstream delivery and ensuring the effective management of processes and projects.

• Continuously improving processes by identifying innovative solutions through research and analysis.

• Managing professional employees and supervising teams to deliver complex technical initiatives, with accountability for performance and results.

• Engaging actively with clients, participating in daily working sessions, and leading workstreams from planning through execution to closure.

• Identifying and developing new business opportunities within the life sciences domain.

• Collaborating with life sciences professionals to tailor AI solutions that enhance commercial and patient outcomes and streamline clinical workflows.

• Identifying opportunities for additional services and managing engagement economics.

Skills and attributes for success

To excel in this role, you will need a blend of technical expertise and strong interpersonal skills. This role will work to deliver tech at speed, innovate at scale and put humans at the center. Provide technical guidance and share knowledge with team members with diverse skills and backgrounds. Consistently deliver quality client services focusing on more complex, judgmental and/or specialized issues surrounding emerging technology. Demonstrate technical capabilities and professional knowledge. Learn about EY and its service lines and actively assess and present ways to apply knowledge and services.

The following attributes will make a significant impact:

• Proven ability to develop solutions to complex problems and recommend changes to policies and procedures.

• Strong judgment in selecting methods and techniques for obtaining results.

• Experience in leveraging AI to support drug discovery and development processes.

• Ability to lead teams effectively in navigating the regulatory landscape of life sciences.

• Experience in managing client relationships and delivering high-quality service.

• Ability to lead teams effectively and manage change within the organization.

To qualify for the role, you must have

• A Bachelor’s degree required (4-year degree).

• 6-10 years of relevant experience of full-time working experience in AI, Data Science, and/or Machine Learning

• 2-4 years of experience directly managing technical teams

• Strong skills in Python

• Ability lead, collaborate, and communicate effectively with diverse, hybrid and global teams

• Experience designing, building, and maintaining high-impact, high-value production AI/ML solutions on a major cloud platform

• Proficient in Generative AI models and frameworks (e.g., OpenAI, Dall-e, Langchain, Retrieval Augmented Generation (RAG)) and experienced with ML packages like scikit-learn and PyTorch

• Experience with natural language processing and deep learning

• Extensive experience in DevOps tools (GIT, Azure DevOps), Agile methodologies (Jira), and CI/CD pipelines for developing, deploying, and scaling analytical solutions

• Experience with MLOps and ML workflows, including data ingestion, transformation, and evaluation

• Experience with model retraining and feedback loop methodologies

• Experience with model and solution monitoring and reporting

• Understanding of data structures, data modeling and software engineering best practices

• Strong foundation in mathematics, statistics, and operations research, with proficiency in data manipulation tools (SQL, Pandas, Spark) and deep learning techniques

• Experience with life science commercial operations data standards and interoperability protocols.

• Excellent communication skills for conveying findings and recommendations, with a willingness to travel for client engagements

• Skills in Technical Design Optimization

• Strong relationship‑building skills

• Demonstrated client trust and value

• Digital fluency and emotional agility

• Commercial acumen and negotiation skills

• Proven ability to lead teams and manage change

Ideally, you’ll also have

• A deep understanding of and ability to teach concepts, tools, features, functions, and benefits of different approaches to apply them

• Master’s degree Computer Science, Mathematics, Physical Sciences, or other quantitative field

• Experience working with diverse teams to deliver complex solutions

• Strong skills in languages beyond Python: R, JavaScript, Java, C++, C

• Experience fine‑tuning Generative AI models

• Experience in managing complex projects with multiple stakeholders

• A strong understanding of industry trends and emerging technologies in life sciences

• Skills in data visualization and storytelling with data

• Experience with image processing techniques and/or speech and audio processing and analysis

What we look for

We seek individuals who are not only technically proficient but also possess the ability to think critically and creatively. Top performers demonstrate a commitment to excellence, a collaborative spirit, and a passion for driving innovation in the field of AI and data science. Your ability to collaborate effectively and communicate with clarity will set you apart as a leader in our team.

What we offer you

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $125,500 to $230,200. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $150,700 to $261,600. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

• Join us in our team‑led and leader‑enabled hybrid model. Our expectation is for most people in external, client‑serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.

• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well‑being.

Are you ready to shape your future with confidence? Apply today.

EY accepts applications for this position on an on‑going basis.

For those living in California, please click here for additional information.

EY focuses on high‑ethical standards and integrity among its employees and expects all candidates to demonstrate these qualities.

EY | Building a better working world

EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets.

Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow.

EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi‑disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at

#J-18808-Ljbffr

Location: Atlanta, Boston, Chicago, Dallas, Denver, Detroit, Houston, Los Angeles, McLean, New York, Hoboken, Philadelphia, San Francisco, Seattle

The opportunity

EY-Parthenon’s unique combination of transformative strategy, transactions and corporate finance delivers real-world value. The Growth Platforms team focuses on building durable technology and AI capabilities that power long-term enterprise growth. The Software Engineering Director for AI Tooling plays a pivotal role in translating strategy into execution—designing and scaling modern software platforms, AI-enabled tools, and internal products that create measurable value for Fortune 500 and growth-stage clients alike.

Your key responsibilities

As a Software Engineering Director, you will lead the design and delivery of production-grade software systems and AI-enabled tooling that underpin high-visibility client engagements and internal platforms. You will own architectural decisions, development standards, and technical direction across multiple workstreams.

• Architect, build, and scale core software platforms that integrate data, AI services, and user-facing applications.
• Lead the development of AI-powered tools, including decision support systems, copilots, internal developer tools, and domain-specific agents.
• Design and maintain robust service architectures (APIs, event-driven systems, batch and real-time pipelines) optimized for reliability, security, and extensibility.
• Establish engineering best practices across code quality, testing, CI/CD, observability, and performance.
• Collaborate with AI/ML engineers to productionize models and agents, ensuring seamless integration into real-world workflows.
• Partner directly with business leaders and C-suite executives to translate strategic objectives into scalable technical solutions.
• Mentor senior engineers and technical leads, fostering a culture of ownership, craftsmanship, and continuous improvement.

Skills and attributes for success

Successful candidates will bring strong engineering judgment, fluency in modern AI tooling, and the ability to operate comfortably across strategy and execution.

You will be expected to:

• Lead development of backend and full-stack systems using modern languages and frameworks (e.g., Python, Java, Scala, TypeScript).
• Design and manage cloud-native architectures on platforms such as AWS or GCP, using containerization and infrastructure-as-code.
• Build AI-ready application layers that integrate LLMs, retrieval systems, vector databases, and model orchestration frameworks.
• Develop internal tooling and developer platforms that improve velocity, reliability, and reuse across teams.
• Define and enforce standards for security, privacy, reliability, and compliance (e.g., SOC 2, HIPAA, enterprise governance).
• Translate ambiguous business problems into concrete system designs and incremental delivery plans.
• Communicate complex technical concepts clearly to non-technical stakeholders.

To qualify for the role, you must have

• A bachelor’s degree in Computer Science, Engineering, or a related technical field and 5+ years of professional engineering experience; or a graduate degree and approximately 3+ years of relevant experience.
• Demonstrated experience in senior software engineering, platform engineering, or technical leadership roles.
• Strong proficiency in modern software development practices, including APIs, distributed systems, and cloud services.
• Hands‑on experience deploying AI-enabled applications or tooling into production environments.
• Comfort operating in fast-paced, client-facing environments with evolving requirements.
• You must either reside in or be in a commutable distance to your office location for this position.
• The ability and willingness to travel and work in excess of standard hours when necessary. In certain circumstances, travel may be required beyond your work location based on client and project needs.

Ideally, you will have

• Experience working in management consulting, product-led organizations, or high-growth startups.
• Familiarity with modern AI ecosystems, including LLM frameworks, agent architectures, and prompt/tool orchestration.
• A strong product mindset—understanding not just how to build systems, but how they will be adopted and sustained.
• Knowledge of how to leverage firm‑approved AI tools in a business setting, including Microsoft Copilot.

What we look for

We are looking for candidates who have a strong aptitude for quantitative and qualitative analysis and the ability to link business strategy to performance. Being a strong team player is critical with the ability to adapt to changing requirements or deadlines in support of our clients’ goals.

What we offer you

At EY, we’ll develop you with future-focused skills and equip you with world-class experiences.

• We offer a comprehensive compensation and benefits package where you’ll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $205,000 to $235,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.
• Join us in our team-led and leader-enabled hybrid model. Our expectation is for most people in external, client serving roles to work together in person 40‑60% of the time over the course of an engagement, project or year.
• Under our flexible vacation policy, you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.

EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law.

EY is committed to providing reasonable accommodation to qualified individuals with disabilities including veterans with disabilities. If you have a disability and either need assistance applying online or need to request an accommodation during any part of the application process, please call 1-800-EY-HELP3, select Option 2 for candidate related inquiries, then select Option 1 for candidate queries and finally select Option 2 for candidates with an inquiry which will route you to EY’s Talent Shared Services Team (TSS) or email the TSS at .

#J-18808-Ljbffr

A global consulting firm seeks a Manager in AI Native Engineering to deliver innovative AI solutions. You will work closely with diverse clients, managing tech teams and projects. Required: Bachelor's degree, 6-10 years in AI or Data Science, strong skills in Python and client management. The role includes leading workstreams, collaborating on tailored AI solutions for life sciences, and ensuring compliance. The position offers a flexible work environment and a comprehensive compensation package.
#J-18808-Ljbffr

Altera .Senior Design Automation Engineer page is loaded## Senior Design Automation Engineerlocations: San Jose, California, United Statestime type: Full timeposted on: Posted Yesterdayjob requisition id: R02359# **Job Details:**### ## **Job Description:****About Altera**At Altera(TM), our independence as the world’s largest pure‐play FPGA solutions provider gives us the focus, speed, and agility to innovate without compromise. With more than four decades of industry‐leading FPGA expertise, our singular mission is to deliver the programmable technologies that help customers differentiate, innovate, and scale across rapidly evolving markets like AI, cloud, networking, and edge. As an independent company, we move faster, invest deeper, and partner more closely—empowering our teams to drive breakthrough innovation and shape the future of the FPGA industry.**About the Role**Altera is seeking a **Senior Design Automation Engineer** to join our Design Methodology Automation and Infrastructure Team.The Design Methodology Automation and Infrastructure Team is responsible for building and maintaining the core automation infrastructure that supports Altera’s FPGA design flows—from RTL to GDSII. In this senior role, you will drive the architecture, development, and optimization of highly automated, reliable, and scalable flow systems that enhance design productivity and accelerate development cycles for next-generation FPGA products. You will influence technical direction, mentor junior engineers, and collaborate closely with cross-functional teams to deliver world-class automation solutions.**Key Responsibilities:*** Architect next-generation unified FPGA/SoC design methodologies spanning Front-End, handoff to Backend, Design Verification, Design-For-Test (DFT), Design Data Management/Release flows, and FPGA-specific flows such as Design Intent and Configuration Management.* Develop and integrate state-of-the-art EDA solutions, including ML/AI-enhanced tools, flows, and methodologies—sourced externally or developed internally—to create sustainable, scalable automation solutions for multiple chip design programs.* Collaborate with design automation technical leads, design domain leads, and domain managers to define and drive new design automation architectures from concept through full production deployment across upcoming product programs.* Partner with EDA vendors to evaluate, explore, and extend tool capabilities that improve design quality, shorten turn-around time, and enhance design optimization.* Architect, develop, deploy, and maintain advanced design automation flows and methodologies for digital and/or analog design at scale.* Lead evaluation, integration, and enhancement of EDA tools, driving improvements in design productivity, efficiency, and quality across multiple design teams.* Design and implement robust automation frameworks that reduce manual effort, increase reproducibility, and improve overall design throughput.* Identify workflow bottlenecks across design, verification, CAD, and methodology teams and lead cross-functional initiatives to streamline FPGA design execution.* Provide deep technical expertise in scripting, tool customization, and flow development for advanced semiconductor design needs.* Drive continuous innovation in design automation infrastructure through adoption of new methodologies, technologies, and optimizations.* Collaborate with internal and external EDA vendors, owning issue resolution, feature requests, and deployment of next-generation capabilities.* Mentor and provide technical leadership to junior engineers within the Design Automation organization.#LI-MD1**Salary Range**The pay range below is for Bay Area California only. Actual salary may vary based on a number of factors including job location, job-related knowledge, skills, experiences, trainings, etc. We also offer incentive opportunities that reward employees based on individual and company performance.**$149,100 - $215,925 USD**We use artificial intelligence to screen, assess, or select applicants for the position. Applicants must be eligible for any required U.S. export authorizations.### ## **Qualifications:****Minimum Qualifications:**Bachelor's or Master's in Computer Science, Electrical Engineering, or equivalent, with a minimum of 8+ years of experience in IC Design or Design Automation and experience in the following:* Extensive experience with industry-standard EDA tools and hands-on expertise in design methodologies across multiple domains, such as Front-End Logic Design flows, Design Intent and FPGA-specific flows, Design Verification flows, and Design-for-Test (DFT) flows (with Back-End flow knowledge considered a plus).* Strong programming skills in Python, Tcl, C-shell, C, C++, or similar languages.* Familiarity with ML/AI applications and algorithms and their use in EDA or design methodology optimizations.* Proven leadership skills for driving collaborative, cross-functional projects, with strong communication and influencing abilities### ## **Job Type:**Regular### ## **Shift:**Shift 1 (United States of America)### ## **Primary Location:**San Jose, California, United States### ## **Additional Locations:**### ## **Posting Statement:**All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.
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