Director, Data Science Rollout AI

Build and lead a team of senior data scientists, each partnered with one of USRM's lines of business (Property & Specialty, Auto, and Small Commercial) and working from a shared evaluation strategy. Set the strategy and roadmap for how USDS uses AI to accelerate pricing program rollout, focused on the use cases with the highest value and risk. Lead the design of state-of-the-art AI and agentic evaluations. Define accuracy metrics and ground truth, design statistical tests and experiments, and match the depth of evaluation to the stakes of each use case. Measure the value of AI applications, including effort reduced, errors avoided, and time to market gained, and help leaders decide what to scale. Partner with the data science, technology, and pricing delivery teams building AI to bring evaluation in early and help high-value applications reach production. Support evaluations of AI vendors and third-party solutions, giving an objective, data-science-based assessment of what they can deliver. Experience evaluating generative AI or agentic systems is strongly preferred. Deep knowledge of predictive analytic techniques and statistical diagnostics of models. Expert knowledge of predictive toolset, to include highly technical tools. Proven ability to lead and drive projects and assignments to completion through others, to include prior experience effectively managing talent. Demonstrated ability to exchange ideas and convey complex information clearly and concisely, verbally, visually (presentations and exhibits), and in writing, consistent with the audiences and stakeholders with which s/he interacts. Ability to establish and build relationships within and outside the aligned functional area or SBU. Ability to give effective training and presentations to management and other groups. Presents to senior or functional department leaders or executives. 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 an advanced degree (in Statistics, Mathematics, Data Science or other relevant field of study) and 5 to 7 years of relevant experience or may be acquired through a Bachelor`s degree (scientific field of study) with 10 years of relevant experience.