• Define and execute the multi-year roadmap architecture for ETL pipelines, telemetry, identity, storage, transformation, and activation layers • Partner with Engineering and Analytics Engineering to evolve scalable, reliable, and cost-efficient data architecture • Establish product requirements for client telemetry, event tracking standards, and data quality frameworks • Drive governance, privacy, and compliance alignment across retailer and advertiser data flows • Lead initiatives that improve data completeness, accuracy, and trust, especially where incomplete or inconsistent data impacts business KPIs • Develop and scale reporting, dashboards, and self-serve analytics capabilities for internal teams and external partners • Balance foundational platform investments with high-revenue product domains such as audience optimization, personalized advertising, rebates, and promotional systems • Align data strategy with adjacent domains including loyalty, rewards, ecommerce, challenges, and catalog intelligence • Evaluate trade-offs between technical debt reduction and new feature development to maximize long-term platform health and business impact • Partner with Data Science to deliver ML-powered personalization, audience optimization, and predictive insights • Translate experimentation, modeling, and algorithmic outputs into usable and explainable product features • Identify and prioritize AI opportunities that drive revenue growth, operational efficiency, and competitive differentiation • Mentor Product Managers focused on data and AI initiatives • Serve as the connective tissue between Product, Engineering, Data Science, Design, Revenue, and Operations • Establish intake, prioritization, and roadmap governance processes for data-related initiatives across the organization • Communicate vision, progress, and outcomes to executive leadership and stakeholders with clarity and credibility