Set company-wide strategy for product analytics, business metrics, and GTM insights Define core measurement frameworks for product usage, activation, retention, and customer value Oversee the delivery of trusted dashboards, reporting, and self-serve analytics Lead the data engineering strategy in close partnership with data engineers Set expectations and priorities for how data engineering supports analytics, product insights, and ML use cases Own the vision and prioritization for customer-facing analytics and insight products Lead and scale the analytics and ML organization; define roles, career paths, and team structure Own the data roadmap and prioritize initiatives based on business impact and strategic goals