Director I, Data Science- AI Products

About the job

Design, build, and evaluate GenAI solutions and agentic workflow automation systems Build evaluation metrics and tools to assess GenAI systems' performance, reliability, and safety Identify core reusable capabilities within a particular use case and work with other teams to scale those capabilities across other franchises in the business Collaborate with data scientists, AI & data engineers, and business partners to develop AI-enhanced decision-aid tools and drive 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 Strong foundational knowledge of data science and AI, combined with statistical knowledge for model diagnosis Proven expertise in building agentic AI systems using LangChain/LangGraph for underwriting automation Strong MLOps expertise across the complete data science lifecycle using MLFlow3/Databricks Familiarity with GenAI evaluation methodologies and experience assessing AI workflows Demonstrated ability to exchange ideas and convey complex information clearly and concisely Ability to guide and mentor junior data scientists and analysts on the team Proven ability to build and sustain relationships both within and beyond the department Ability to translate analytical results into recommendations that influence team, department, and senior leadership decisions Broad knowledge of the business and market context, in particular, commercial underwriting & claims workflows, and ability to prioritize work based on the value it generates. Competencies typically acquired through a Ph.D. in Statistics, Mathematics, Economics, or another scientific field, plus 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. Responsible for the management, technical oversight and development for a team of data science and advanced analytics staff. Collaborates with business partners to develop tools and services such as modeling, dashboard development, and decision aids to drive strategic decision making. Presents findings, shares insights, and makes recommendations that impact profitability, growth and/or customer satisfaction. Provides tactical input on highly technically complex projects that drive change across function, SBU or Corporate Department. Supervises and performs highly complex well-defined work, containing technical and creative predictive analytics projects. Regularly engages with the data science community and leads cross functional working groups.