Director, Data Science Rollout AI
Liberty Mutual · Boston, MA, US
About this role
## Director, Data Science Rollout AI **Overview** AI has the potential to transform how insurers bring new products to market—and this role helps ensure it does. US Data Science (USDS) is seeking a **Director-level data science leader** to build and lead a new team that uses advanced AI to bring **pricing programs to market faster**. This is a **new, highly visible team** shaping how AI is used in USRM’s core pricing work. The team will build **state-of-the-art evaluations** for AI and agentic systems to determine: - How much value the AI delivers - How accurate it is - What the risk is when it gets something wrong **Location / Work Model** - Candidates living within **50 miles of Boston, MA; Portsmouth, NH; Seattle, WA; Columbus, OH; or Plano, TX**: **hybrid**, coming into the office **two days per week** - Otherwise: **remote** with **occasional travel** --- ## Responsibilities - **Build and lead** a team of senior data scientists, each partnered with a USRM line of business (**Property & Specialty, Auto, Small Commercial**) and working from a shared evaluation strategy - Set the **strategy and roadmap** for how USDS uses AI to accelerate pricing program rollout (prioritizing highest value and risk use cases) - Lead the design of **AI and agentic evaluations** (state-of-the-art) - Define **accuracy metrics** and **ground truth**; design **statistical tests and experiments**; tailor evaluation depth to the stakes of each use case - Measure AI value (e.g., **effort reduced, errors avoided, time-to-market gained**) and help leaders decide what to scale - Partner with data science, technology, and pricing delivery teams to bring evaluation in early and help high-value applications reach production - Support evaluations of **AI vendors and third-party solutions** with objective, data-science-based assessments --- ## What You’ll Need - **Hands-on experience** building and deploying **insurance pricing models**, with end-to-end understanding from model build through filing and implementation - Proven experience leading and developing **high-performing technical teams** - Exceptional **stakeholder management** and ability to drive outcomes across teams you don’t directly own - Deep expertise in **model evaluation, statistics, and experimental design** - Strong, recent hands-on experience with **modern LLMs**, including agentic coding, integrating LLMs into applications, and **RAG** - Experience evaluating **generative AI or agentic systems** (strongly preferred) - Strong technical skills (e.g., **Python**) to prototype evaluation tooling and review engineering work - Ability to turn AI/data science strategy into a **prioritized roadmap** **Education / Experience (preferred)** - Bachelor’s in a quantitative field with **10+ years** relevant experience, **or** - Master’s degree plus **8 years** relevant experience --- ## About Us (Liberty Mutual) Liberty Mutual is committed to creating a workplace where everyone feels valued, supported, and can thrive. The company emphasizes inclusion, professional development, workplace flexibility, and benefits supporting employee well-being. **Equal Opportunity Employer** Liberty Mutual is an equal opportunity employer and does not tolerate discrimination based on protected characteristics. **Pay Philosophy** The typical starting salary range is determined by factors including skills, experience, education, certifications, and location. The full salary range reflects competitive market value and
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