AI Manager Jobs
AI Manager jobs are open from team lead to senior director across technology, finance, healthcare, and media, with specializations in machine learning operations, generative AI product development, and AI governance. Scan the live roles below and apply to whichever ones fit.
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Assistant Director/Director I, Data Science – AI Products and Transformation
Position Overview
We are seeking a Data Science Manager to join the Global AI Products and Transformation team within GRS Data Science Solutions. This leader will develop and manage a team of data scientists responsible for scaling ML/AI solutions and creating reusable capabilities that accelerate AI adoption across multiple GRS lines of business and regions.
The ideal candidate will combine data science expertise, hands-on engineering experience, and collaborative leadership. They will lead a team in delivering production-grade AI solutions and establishing reusable technical patterns and platforms. They will also translate business opportunities into product roadmaps and partner with engineering and architecture teams to define enterprise-wide infrastructure that provides AI systems with governed access to relevant context.
**Level of position offered will be based on skills and experience at manager discretion at the Assistant Director or Director I level**
Key Responsibilities
- Lead, coach, and develop a high-performing team of data scientists and AI/ML engineers.
- Drive the design, development, deployment, and ongoing improvement of scalable AI solutions.
- Identify common requirements and solution patterns across use cases, and lead the development of reusable AI products, platform capabilities, shared components, frameworks, APIs, and patterns that enable downstream applications.
- Partner with AI product managers, engineers, architects, and business stakeholders to design enterprise architecture solutions that enable scalable AI adoption.
- Promote strong engineering practices across the AI development lifecycle, including testing, version control, CI/CD, observability, documentation, and MLOps/AIOps.
- Communicate technical concepts, trade-offs, progress, and recommendations clearly to both technical and nontechnical audiences.
Required Qualifications:
- Hands-on experience developing and deploying production-grade AI or ML solutions.
- Advanced knowledge of AI/ML methods, engineering practices, tools, and business applications.
- Strong communication, collaboration, and stakeholder-management skills.
- Relevant insurance or regulated-industry experience is preferred.
- Competencies typically acquired through a Ph.D. degree (in Computer Science,
Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of 8 years of relevant experience.
Preferred Skills and Experiences:
- Demonstrated leadership experience, including managing, coaching, or mentoring data scientists, engineers, interns, or external partners. Prior formal people-management experience is preferred.
- Experience leading AI products in a product-oriented delivery model.
- Experience with GenAI, LLM-based applications, Q&A, chat, embeddings, prompt engineering, retrieval-augmented generation, or AI-assisted workflows.
- Experience building reusable AI platforms, shared services, or enterprise-scale capabilities.
- Success driving AI transformation and adoption in large, complex, or global organizations, if applicable.
What Success Looks Like
- Success in this role means accelerating the delivery of AI solutions while reducing duplicated effort across the organization. The Data Science Manager will create the technical and organizational foundation that allows teams to move efficiently from AI experimentation to secure, reliable, and reusable production capabilities.
- Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
- Expert knowledge of predictive toolset; reflects as expert resource for tool development.
- Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
- Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU.
- Ability to give effective training and presentations to peers, management and less senior business leaders.
- Ability to use results of analysis to persuade team or department management to a particular course of action.
- Has a value driven perspective with regard to understanding of work context and impact.
- Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and a minimum of 5+ years of relevant experience.
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
- California
- Los Angeles Incorporated
- Los Angeles Unincorporated
- Philadelphia
- San Francisco
Assistant Director/Director I, Data Science – AI Products and Transformation
Position Overview
We are seeking a Data Science Manager to join the Global AI Products and Transformation team within GRS Data Science Solutions. This leader will develop and manage a team of data scientists responsible for scaling ML/AI solutions and creating reusable capabilities that accelerate AI adoption across multiple GRS lines of business and regions.
The ideal candidate will combine data science expertise, hands-on engineering experience, and collaborative leadership. They will lead a team in delivering production-grade AI solutions and establishing reusable technical patterns and platforms. They will also translate business opportunities into product roadmaps and partner with engineering and architecture teams to define enterprise-wide infrastructure that provides AI systems with governed access to relevant context.
**Level of position offered will be based on skills and experience at manager discretion at the Assistant Director or Director I level**
Key Responsibilities
- Lead, coach, and develop a high-performing team of data scientists and AI/ML engineers.
- Drive the design, development, deployment, and ongoing improvement of scalable AI solutions.
- Identify common requirements and solution patterns across use cases, and lead the development of reusable AI products, platform capabilities, shared components, frameworks, APIs, and patterns that enable downstream applications.
- Partner with AI product managers, engineers, architects, and business stakeholders to design enterprise architecture solutions that enable scalable AI adoption.
- Promote strong engineering practices across the AI development lifecycle, including testing, version control, CI/CD, observability, documentation, and MLOps/AIOps.
- Communicate technical concepts, trade-offs, progress, and recommendations clearly to both technical and nontechnical audiences.
Required Qualifications:
- Hands-on experience developing and deploying production-grade AI or ML solutions.
- Advanced knowledge of AI/ML methods, engineering practices, tools, and business applications.
- Strong communication, collaboration, and stakeholder-management skills.
- Relevant insurance or regulated-industry experience is preferred.
- Competencies typically acquired through a Ph.D. degree (in Computer Science,
Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 3 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 6 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) and a minimum of 8 years of relevant experience.
Preferred Skills and Experiences:
- Demonstrated leadership experience, including managing, coaching, or mentoring data scientists, engineers, interns, or external partners. Prior formal people-management experience is preferred.
- Experience leading AI products in a product-oriented delivery model.
- Experience with GenAI, LLM-based applications, Q&A, chat, embeddings, prompt engineering, retrieval-augmented generation, or AI-assisted workflows.
- Experience building reusable AI platforms, shared services, or enterprise-scale capabilities.
- Success driving AI transformation and adoption in large, complex, or global organizations, if applicable.
What Success Looks Like
- Success in this role means accelerating the delivery of AI solutions while reducing duplicated effort across the organization. The Data Science Manager will create the technical and organizational foundation that allows teams to move efficiently from AI experimentation to secure, reliable, and reusable production capabilities.
- Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
- Expert knowledge of predictive toolset; reflects as expert resource for tool development.
- Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
- Networks with key contacts outside own area of expertise. Ability to establish and build relationships within the aligned functional area or SBU.
- Ability to give effective training and presentations to peers, management and less senior business leaders.
- Ability to use results of analysis to persuade team or department management to a particular course of action.
- Has a value driven perspective with regard to understanding of work context and impact.
- Competencies typically acquired through a Ph.D. degree (in Statistics, Mathematics, Economics, Actuarial Science or other scientific field of study) and a minimum of 2 years of relevant experience, a Master`s degree (scientific field of study) and a minimum of 4 years of relevant experience or may be acquired through a Bachelor`s degree(scientific field of study) and a minimum of 5+ years of relevant experience.
Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.
At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.
We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://LMI.co/Benefits
Liberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.
Fair Chance Notices
- California
- Los Angeles Incorporated
- Los Angeles Unincorporated
- Philadelphia
- San Francisco
See All 2,076+ AI Manager Jobs
Find roles that match your experience and apply in just a few clicks.
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Who's Hiring
- Google62
- Meta58
- Amazon50
- NVIDIA46
- EY42
Top Industries Hiring
- Technology & Software129
- Banking & Financial Services21
- Education17
- Healthcare & Medical Services15
- Accounting & Auditing12
What Employers Look For
The qualifications that appear most often in AI manager jobs.
- Three or more years managing machine learning or AI engineering teams
- Hands-on experience with model development lifecycle from data to deployment
- Proficiency with Python and at least one major ML framework such as PyTorch or TensorFlow
- Experience with cloud AI platforms such as AWS SageMaker, Azure ML, or Google Vertex AI
- Demonstrated ability to translate business goals into AI product requirements
- Bachelor's or master's degree in computer science, data science, or a related technical field
Tips for Your AI Manager Job Search
Quantify AI outcomes on your resume
Hiring managers for ai manager roles want to see measurable results, not just project names. Replace vague bullets with outcomes like latency reductions, model accuracy improvements, or cost savings your team delivered. Generic AI experience blurs together without numbers.
Show cross-functional leadership explicitly
AI manager listings consistently ask for collaboration with product, engineering, and business stakeholders. Your resume should name the teams you partnered with and what decisions you influenced, not just the technical work your team shipped.
Filter by team size and AI maturity level
An ai manager role at a company building its first ML pipeline is very different from one scaling a mature platform team. Read the posting carefully for signals like 'standing up' versus 'growing' an AI function, and target the stage that matches your experience.
Apply early to roles that fit
Migrate Mate lists ai manager openings from across the United States in one place, so you can find roles that match and apply directly to each listing.
Prepare a system design narrative for interviews
AI manager interviews often include a prompt asking you to design or critique an ML system end to end. Practice explaining architecture choices, data pipelines, evaluation strategies, and tradeoffs out loud, not just on a whiteboard.
Negotiate scope alongside compensation
When you receive an offer, clarify team headcount authority, budget ownership, and whether you'll own model deployment decisions or only research. These details define the actual job and are negotiable before you sign, not after.
AI Manager Jobs: Frequently Asked Questions
Which companies are hiring the most ai managers?
The most active employers for ai managers right now are Google, Meta, and Amazon, and the most openings are in California, New York, and Texas, based on current listings on Migrate Mate as of November 2026. Demand is strongest at technology companies and large enterprises actively scaling AI product teams.
How many ai manager jobs are remote?
About 76% of ai manager openings are fully remote or hybrid as of November 2026, reflecting strong employer flexibility for this role. Sub-areas like AI strategy, MLOps leadership, and responsible AI governance tend to be the most remote-friendly, while roles managing embedded research teams often require on-site presence.
How do you become an ai manager?
Start by building hands-on experience as a machine learning engineer or data scientist so you understand the technical work your future team will do. Move into a tech lead or staff engineer role to develop people management and cross-functional influence skills. Seek out project ownership that includes roadmap decisions, stakeholder communication, and hiring, since those are the signals employers look for when promoting into or hiring for ai manager positions.
How do you get hired as an ai manager with little experience?
Start by targeting companies that are early in building their AI function, where the bar for prior management experience is lower and growth into the role is expected. Lead an internal AI initiative at your current job, even informally, and document the outcome. Highlighting mentorship, cross-team coordination, and project ownership on your resume signals management readiness without requiring a previous manager title.
What does the ai manager interview process look like?
Most ai manager interview processes include a recruiter screen, a hiring manager conversation focused on leadership style and past team outcomes, a technical assessment covering system design or ML strategy, and a cross-functional panel with product and engineering stakeholders. Final rounds often include a presentation where you walk through a past AI initiative, the tradeoffs you navigated, and what you would do differently.
Where can I find and apply to ai manager jobs?
You can find and apply to ai manager jobs on Migrate Mate, which lists current openings from across the United States. Search the roles available, find the ones that match your experience and goals, and apply directly to each listing that fits.
See All 2,076+ AI Manager Jobs
Find roles that match your experience and apply in just a few clicks.
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