Strategic Overview
Director I, Data Science, Enterprise Data & Data Science at Liberty Mutual is defined by the responsibilities and candidate requirements in the employer's listing.
The published role emphasizes work such as Design, build, and evaluate generative AI solutions and agentic systems.
The role is listed for United States with a remote working arrangement, giving candidates the practical context needed to assess fit before applying. Relevant signals in the listing include Data Science & Analytics, Director.
Key information at a glance
About This Role
We're seeking an exceptional, hands-on Data Scientist with deep expertise in data science, MLOps, and building GenAI solutions to join our Enterprise Data & Data Science team. In this role, you'll identify, evaluate, and develop solutions at the intersection of data science, generative AI, and enterprise data strategy—including GenAI evaluation frameworks and semantic data layers.
Responsibilities :
Preferred Experience:
Key Responsibilities & Objectives
- Design, build, and evaluate generative AI solutions and agentic systems
- Develop and maintain data semantic layers and knowledge graphs for enterprise-scale data accessibility
- Build evaluation frameworks and tools to assess GenAI systems' performance, reliability, and safety
- Collaborate with other data scientists, machine learning engineers, data engineers, and business partners
Required Qualifications & Candidate Blueprint
- Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
- Advanced knowledge of predictive toolset; reflects as expert resource for tool development.
- Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
Salary & Benefits
The available source data does not publish a numerical salary range for this opening. We do not estimate or substitute third-party figures.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
Description
We're seeking an exceptional, hands-on Data Scientist with deep expertise in data science, MLOps, and building GenAI solutions to join our Enterprise Data & Data Science team. In this role, you'll identify, evaluate, and develop solutions at the intersection of data science, generative AI, and enterprise data strategy—including GenAI evaluation frameworks and semantic data layers. You'll also serve as a community champion, driving the adoption of best practices across a large, collaborative data science organization.
Responsibilities:
- Design, build, and evaluate generative AI solutions and agentic systems
- Develop and maintain data semantic layers and knowledge graphs for enterprise-scale data accessibility
- Build evaluation frameworks and tools to assess GenAI systems' performance, reliability, and safety
- Collaborate with other data scientists, machine learning engineers, data engineers, and business partners
- Champion best practices and tooling across a broad data science community
- Lead cross-functional working groups and contribute to innovation in AI/ML methods
- Communicate complex technical findings clearly to non-technical stakeholders
- Serve as a technical consultant on complex, high-impact projects
- Please note this is an individual contributor role
- Broad knowledge of predictive analytic techniques and statistical diagnostics of models.
- Advanced knowledge of predictive toolset; reflects as expert resource for tool development.
- Demonstrated ability to exchange ideas and convey complex information clearly and concisely.
- Ability to establish and build relationships within and outside the organization.
- Ability to give effective training and presentations to management and other groups.
- Ability to use results of analysis to persuade team, department management or senior management to a particular course of action.
- Broad knowledge of business drivers and market context.
- 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 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 Experience:
- Strong foundation in data science and machine learning
- Proven MLOps expertise across the complete data science lifecycle
- Experience building GenAI solutions and agentic systems
- Familiarity with GenAI evaluation methodologies
- Experience with data semantic layers and/or knowledge graphs
- Track record of cross-functional collaboration in a large enterprise environment
- Ability to work ET hours
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:
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
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This opening may suit candidates whose experience matches Data Science & Analytics, Director. Its strongest career signal is the scope of the work itself — particularly Design, build, and evaluate generative AI solutions and agentic systems — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground Data Science & Analytics, Director, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.