• Formulate the enterprise-wide data strategy to align with long-term business objectives and forecast future technological requirements. • Design scalable data architectures that integrate heterogeneous data sources. Ensure all designs adhere strictly to enterprise security and compliance standards. • Author the policies that govern data access, retention, and sovereignty globally. Establish the enforcement mechanisms • Implement rigorous data governance frameworks. Define ownership, stewardship, and quality metrics for data residing in disparate lakes. • Audit the current portfolio of data tools. Identify redundancies and execute plans to decommission inferior software, thereby reducing technical debt. • Analyze existing data silos. Engineer integration patterns that expose trapped data to the broader enterprise without compromising integrity. • Confront business leaders with technical realities. Articulate the cost of sprawl and the value of a unified data model.