Role Overview
Lead product analytics strategy across multiple XBOX product areas spanning Console, PC, Store, and Platform experiences, serving as a strategic advisor to senior Product, Engineering, and Business leaders. Establish organization-level success metrics, operational targets, measurement frameworks, and leading indicators that align teams and guide portfolio investment decisions. Identify and size growth opportunities through advanced analytics and machine-learning models across player acquisition, engagement, retention, monetization, and lifecycle behaviors.
Anticipate risks, synthesize cross-product insights, and shape roadmap and investment tradeoffs. Set methodological direction for experimentation, causal inference, and incrementality measurement; lead rigorous reviews to ensure approaches are robust, unbiased, scalable, and decision-ready. Lead development of reusable analytical assets, agentic AI workflows, and self-service capabilities that can be adopted across product areas and materially improve decision velocity.
Drive cross-organizational alignment with Data Engineering and Software Engineering to strengthen telemetry, data quality, and scalable, resilient measurement infrastructure. Raise the scientific and product analytics bar by mentoring data scientists, reviewing complex work, and establishing standards and reusable practices across the organization. Bachelor's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 6+ years related experience (e.g., statistics, predictive analytics, research) OR Master's Degree in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 4+ years related experience (e.g., statistics, predictive analytics, research) OR Doctorate in Statistics, Econometrics, Computer Science, Electrical or Computer Engineering, or related field AND 3+ years related experience (e.g., statistics, predictive analytics, research) OR equivalent experience.
Expertise in SQL, Python or R and agentic AI tools. Expertise applying product analytics, experimentation, causal inference, statistical analysis, forecasting, and data storytelling to solve highly complex problems and drive measurable business impact across multiple product areas. Executive communication skills, with a track record of turning ambiguous business questions and technical tradeoffs into clear recommendations, decision frameworks, and aligned action.
Demonstrated ability to influence senior leaders across functions, resolve competing priorities, and drive organization-level decisions through data and scientific judgment. Demonstrated technical and methodological leadership, including setting standards, reviewing complex work, mentoring others, and leading through influence.