Data Trust and Governance Lead

Data Trust and Governance Lead Department: Community Operations Team: Strategy & Program Operations Location: New York, United States Type: Full-Time **About the Role** We are looking for a senior leader to own the Data Trust and Governance for Customer Support Data (CSD) team within Uber’s Community Operation (CommOps) organization. This role is critical to ensuring that our data remains reliable, consistent, and trusted as we scale support operations and invest in AI-driven analytics. CSD is measured by the quality, reliability, and cost-efficiency of the data we deliver. As the platform evolves, maintaining trust in data becomes increasingly complex and requires dedicated ownership. This role will establish and drive governance standards across data quality, lineage, metric definitions, and data lifecycle management. This is a high-impact role that sits at the intersection of data, engineering, analytics, and business operations. The person in this role will work closely with cross-functional teams to ensure that customer support data is accurate, well-defined, and usable at scale - both for human decision-making and AI-driven use cases. **What You Will Do** 1. **Establish and Enforce Data Quality:** Define, document, and enforce comprehensive data quality rules, policies, and standards specifically for all customer support datasets. 2. **Data Observability:** Establish, document, and be accountable for the implementation and operationalization of data observability requirements and actioning plans for customer support data. 3. **Master & Metadata Management:** Manage and ensure the quality and governance of Master Data Management (MDM) and Metadata Management (MDM) standards. This includes identifying, defining, and managing Critical Data Elements (CDEs) to guarantee consistent business measurement. 4. **Metric Definition and Usability:** Own the definition and validation of technical metrics, lineage documentation, access rules, and compliance standards. Develop a centralized, reliable, and comprehensive document or tool for metric definition and usability, accessible to both human and AI agents. 5. **O