• Create and maintain a shared data definition for key business and product concepts to ensure alignment between Engineering and business teams. • Document and socialize metric definitions, entity definitions, and core logic. • Document each dataset and its purpose. Capture key metadata: primary identifiers, join keys, refresh cadence, source system/vendor, and known limitations. • Support critical dashboards and the underlying data models by confirming data flows, identifying nuances, and validating logic with Engineering. • Create and maintain dashboards that monitor metrics across third-party products/vendors. • Assist with UAT by creating comparison queries, validating outputs across systems, and investigating discrepancies. • Inventory existing datasets and group them into clear subject areas (e.g., applications, servicing, marketing). • Partner with Product to convert repeat ad-hoc questions into reusable reporting (tables, views, dashboards).