Director I, Data Science- AI Products

Liberty Mutual Insurance•Boston, MA

7h•$137,000 - $257,000

About The Position

The Director I, Data Science will lead a small team of data scientists while remaining hands-on technically, developing and scaling AI-enabled products for commercial underwriting and claims processing within Global Risk Solutions (GRS). The Global AI Products & Transformation Team, part of the Data Science Solutions department, builds AI-assisted workflows and underwriting intelligence to support consistent, efficient, and profitable decision-making across the commercial business. These products are being integrated into the system of engagement, with plans to extend the capabilities across the business. The role is responsible for the management, technical oversight, and development of data science and advanced analytics staff. It collaborates with business partners and technical teams to develop models, dashboards, decision aids, and AI-enhanced tools; presents findings and recommendations that affect profitability, growth, or customer satisfaction; and provides tactical input on complex projects that drive change across functions or business units. The position supervises and performs complex predictive analytics work and regularly engages with the data science community and cross-functional working groups.

Requirements

Strong foundational knowledge of data science and AI, with statistical knowledge for model diagnosis.
Proven expertise building agentic AI systems using LangChain/LangGraph for underwriting automation.
Strong MLOps expertise across the data science lifecycle using MLFlow3/Databricks.
Familiarity with GenAI evaluation methodologies and experience assessing AI workflows.
Ability to exchange ideas and communicate 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.
Competencies typically acquired through a 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 GenAI solutions and agentic workflow automation systems.
Build evaluation metrics and tools to assess the performance, reliability, and safety of GenAI 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 aids and support strategic decision-making.
Communicate complex technical findings clearly to non-technical 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 tools and services, including modeling, dashboards, and decision aids.
Present findings, share insights, and make recommendations that affect profitability, growth, or customer satisfaction.
Provide tactical input on technically complex projects that drive change across a function, strategic business unit, or corporate department.
Supervise and perform complex predictive analytics projects.
Engage with the data science community and lead cross-functional working groups.