Director I, Data Science- AI Products

Liberty Mutual•Boston, MA

13h

About The Position

The Director I, Data Science will join Liberty Mutual’s Global AI Products & Transformation Team within the Data Science Solutions department in Global Risk Solutions (GRS). The team builds and scales AI-enabled automation products across the commercial business, including tools that provide underwriting intelligence and support decision-making. The role will lead a small team of data scientists while remaining hands-on technically, helping transform commercial underwriting and claims processing through AI-assisted workflows.

Requirements

Strong foundational knowledge of data science and AI, together with statistical knowledge for model diagnosis.
Expertise building agentic AI systems using LangChain or LangGraph for underwriting automation.
Strong MLOps expertise across the complete data science lifecycle using MLFlow3 and Databricks.
Familiarity with generative AI evaluation methodologies and experience assessing AI workflows.
Ability to exchange ideas and convey complex information clearly and concisely.
Ability to guide and mentor junior data scientists and analysts.
Ability to build and sustain relationships within and beyond the department.
Ability to translate analytical results into recommendations that influence team, department, and senior leadership decisions.
Broad knowledge of business and market context, particularly commercial underwriting and claims workflows, and ability to prioritize work based on value generated.
One of the following education and experience combinations: Ph.D. in Statistics, Mathematics, Economics, or another scientific field and at least 3 years of relevant experience; a master’s degree in a scientific field and at least 6 years of relevant experience; or a bachelor’s degree in a scientific field and at least 8 years of relevant experience.

Responsibilities

Design, build, and evaluate generative AI solutions and agentic workflow automation systems.
Develop evaluation metrics and tools to assess the performance, reliability, and safety of generative AI systems.
Identify reusable capabilities within use cases and work with other teams to scale them across business franchises.
Collaborate with data scientists, AI and data engineers, and business partners to develop AI-enhanced decision-aid tools and support strategic decision-making.
Communicate complex technical findings clearly to nontechnical stakeholders.
Serve as a technical consultant on complex, high-impact projects.
Recruit, manage, and develop a team of data scientists and analysts.
Provide management, technical oversight, and development for data science and advanced analytics staff.
Collaborate with business partners to develop modeling, dashboard, and decision-aid tools and services.
Present findings, share insights, and make recommendations that affect profitability, growth, or customer satisfaction.
Provide tactical input on highly technically complex projects that drive change across a function, SBU, or corporate department.
Supervise and perform highly complex predictive analytics projects involving well-defined technical and creative work.
Engage with the data science community and lead cross-functional working groups.