Senior Manager, Finance & Strategy Data Science

Responsibilities: Lead, mentor, and develop a high-performing data science and analytics engineering team, while shipping hands-on work Foster technical excellence, business judgment, experimentation, and accountability across the team Own the end-to-end NPS program: design, sampling, weighting, driver analysis, verbatim analysis, and exec reporting Oversee the broader survey and research portfolio: safety perception, brand/product sentiment, benchmarking, trend tracking Create agentic workflows and durable infrastructure to enable delegation of analyses, pipelines, QA, and recurring reporting Drive both data science (measurement, experimentation, modeling) and analytics engineering (pipelines, data models) Collaborate with Finance, Product, Engineering, Operations, and other partners to translate questions into scalable analytics Represent Finance & Strategy Data Science in leadership forums and shape data/AI usage for strategic decisions

Key requirements: 7+ years in data science, analytics, or related fields 2+ years of people management experience Strong SQL, Python, statistical analysis, experimentation, and advanced analytics skills Proven ability to convert business questions into rigorous analyses and scalable data solutions Experience creating measurement frameworks, predictive models, benchmarking Strong business judgment with cross-functional collaboration experience Excellent communication and ability to influence and align across teams Experience building and leading high-performing teams of data scientists and analytics engineers leadership communication cross-functional collaboration SQL Python statistical analysis