Data Science Manager, GRS AI Transformation

Description

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.

Qualifications

• 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.

About Us
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