• Define, own, and architect the company-wide data strategy, infrastructure, and operationalization • Lead the planning, prioritization, and execution of high-impact data initiatives • Enable decision science at scale: predictive modeling, experimentation, churn analysis, LTV modeling, and personalization strategies • Partner with Product, Marketing, and Operations to translate business priorities into actionable data initiatives • Establish and enforce data governance, quality, security, and compliance policies • Communicate insights, trade-offs, and strategic recommendations effectively to executive leadership • Mentor senior individual contributors and managers