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Lead, Data Governance & AI Readiness

United States, New York Employment contract 185000.00 - 205500.00 USD / Year · Job Posted June 02, 2026
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Job Description

We are looking for a senior leader to own the Data Trust and Governance on Customer Support Data (CSD) team within Uber's Community Operations (CommOps) 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 analytics, copilots, and agentic AI use cases. Customer support data should not only be reporting-ready. It must be both analytics-ready for human decision-making and AI-ready for machine reasoning, summarization, recommendation, and workflow automation. This role will ensure customer support data is governed as one shared operational foundation with fit-for-purpose serving layers for different consumers. The person in this role will establish and drive governance standards across data quality, observability, lineage, metadata, metric definitions, semantic clarity, identity resolution, source grounding, access controls, cost, and lifecycle management. They will work closely with engineering, analytics, product, operations, and AI stakeholders to ensure customer support data is correct, aggregated, stable, and explainable for human users, while also being connected, contextual, timely, and grounded for AI systems. This is a high-impact leadership role at the intersection of data, engineering, analytics, business operations, 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.

Job Responsibility

  • Establish and Enforce Data Quality and Trust
  • Govern the Shared Operational Foundation for Analytics and AI
  • Data Observability, Timeliness, and Reliability
  • Master Data, Metadata, and Business Semantics
  • Metric Definition, Lineage, and Grounding to Source Facts
  • Agentic AI and Analytics Readiness Governance
  • Operational Governance Alignment and Adoption
  • Drive Data Modernization and Shift-Left Governance
  • Govern Cost, Security, and Lifecycle Management

Requirements

  • 8+ years of experience in data governance, data quality, metadata management, master data management, data stewardship, or related disciplines
  • 10+ years of overall professional experience across data, analytics, data platforms, data engineering, or closely related domains
  • Master's degree in computer science, engineering, information systems, or a similar field
  • Proven track record of driving cross-functional alignment across engineering, analytics, data science, product, operations, and business teams
  • Deep understanding of modern data models, critical data elements, metrics, lineage, metadata, context, semantic, and data lifecycle management
  • Experience defining and operationalizing data quality controls, observability requirements, service levels, issue management, and trust scorecards
  • Strong understanding of how data must be structured and governed for both analytics use cases and AI or agentic system consumption
  • Ability to operate independently and bring structure to ambiguous, complex problem spaces
  • Strong communication skills, with the ability to work effectively with both technical and non-technical stakeholders

Nice to have

  • Experience governing data for AI-ready, ML-ready, or agentic AI use cases, including machine-usable data products, retrieval context, feature or state data, and evaluation datasets
  • Experience with context and semantic engineering for AI and analytics work, including explicit business definitions, entity modeling, and machine-readable metadata
  • Experience with canonical events, state changes, journey identity resolution, cross-surface stitching, and end-to-end workflow modeling
  • Exposure to LLMs, copilots, recommendation systems, or workflow agents in operational environments
  • Experience with large-scale data platforms, cloud data warehouses, data modernization programs, and distributed data ecosystems
  • Strong understanding of customer support business metrics, support journeys, automation flows, agent tools, and operational decision-making
  • Ability to drive alignment across operation, product, analytics, engineering, and business stakeholders
  • Strong ownership, sound judgment, and the ability to lead through ambiguity and organizational complexity

What we offer

  • Bonus program
  • Equity award
  • 401(k) plan
  • Various benefits (see link https://jobs.uber.com/en/benefits)

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