Data Trust & AI Governance Lead

About the Role
We are looking for a senior leader to own the Data Trust and Governance on Data Infrastructure and Strategy (DI&S) team within Uber’s Customer Advocacy Solutions (CAS) organization. This role is critical to ensuring that our customer support data remains reliable, consistent, trusted, and fit for purpose as we scale support operations, modernize the data platform, and expand AI-driven fully self-service.
The person in this role will establish and drive governance standards across data quality, observability, lineage, metadata, metric definitions, semantic clarity, and full data context. They will work closely with engineering, analytics, product, operations, science and AI stakeholders to ensure customer support data is correct, aggregated and explainable for human users, while also being connected, contextual, timely, and grounded for AI systems.
This is a high-impact data leadership role at the intersection of product, engineering and AI. Success in this role requires building trust in data for both traditional governance outcomes and the next generation of agentic AI analytics readiness.
What You Will Do:
Data Quality & Trust: Establish and enforce high data quality and trust standards, making quality the default expectation and measurably proven through data, not assumed.
Analytics & AI Data Foundation: Govern the shared canonical data foundation powering trusted analytics and AI.
Data Observability: Establish observability, freshness, and reliability standards with effective system controls to proactively detect issues and consistently meet defined data contract and SLAs.
Master Data & Semantics: Govern master data, metadata, business definitions, semantics, context and ontology for consistent human and AI consumption.
Metrics & Lineage: Govern metric definitions, lineage, and source traceability so root-cause analysis and drill-down from reported metrics to underlying facts are available by default.
AI Readiness: Establish and enforce analytics- and AI-ready data standards for reliable agentic AI and analytics.
Governance & Adoption: Establish clear ownership, stewardship, accountability, and adoption of governance standards.