• Own the design and delivery of our data warehouse and data marts: models, schemas, semantic consistency, and documentation. • Build and evolve reporting foundations: curated datasets, metric definitions, and repeatable reporting patterns. • Partner with stakeholders to define source-of-truth metrics and ensure consistent definitions across teams. • Establish standards for data quality, testing, reconciliation, lineage, access control, and lifecycle management. • Drive modernization: reduce legacy data debt, simplify flows, and improve reliability and performance across the platform. • Define data contracts with application teams (schemas, events/CDC patterns) so downstream reporting is stable. • Enable self-serve analytics by making data discoverable, documented, and safe to use.