Director I, Data Science, Enterprise Data & Data Science

Description We're seeking an exceptional, hands-on Data Scientist with deep expertise in data science, MLOps, and building GenAI solutions to join our Enterprise Data & Data Science team. In this role, you'll identify, evaluate, and develop solutions at the intersection of data science, generative AI, and enterprise data strategy—including GenAI evaluation frameworks and semantic data layers. You'll also serve as a community champion, driving the adoption of best practices across a large, collaborative data science organization. Responsibilities : Design, build, and evaluate generative AI solutions and agentic systems Develop and maintain data semantic layers and knowledge graphs for enterprise-scale data accessibility Build evaluation frameworks and tools to assess GenAI systems' performance, reliability, and safety Collaborate with other data scientists, machine learning engineers, data engineers, and business partners Champion best practices and tooling across a broad data science community Lead cross-functional working groups and contribute to innovation in AI/ML methods Communicate complex technical findings clearly to non-technical stakeholders Serve as a technical consultant on complex, high-impact projects Please note this is an individual contributor role Qualifications Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Advanced knowledge of predictive toolset; reflects as expert resource for tool deve