• Set the vision and strategy for Data Analytics, Data Science, and Data Engineering. • Lead a high-performing data organization, including coaching, and developing engineers, and analysts • Own the data platform, including pipelines, warehousing, modeling, governance, observability, and reliability • Create a world-class experimentation program, including statistical rigor, tools, design, and rollout frameworks • Develop predictive and machine learning models that power personalization, fraud detection, forecasting, and user behavior prediction • Partner cross-functionally with Product, Engineering, Marketing, Finance, Operations, and Compliance to drive strategy and decision-making • Create dashboards and analytical tools to empower self-service and automate insights • Own data governance and regulatory compliance, particularly in highly regulated lottery and gaming environments • Own the data roadmap, tooling strategy, and org design, ensuring we balance speed with long-term scalability • Champion data-driven decision-making and raise the data IQ across the company