Data Governance Lead, Infrastructure

About the role

Meta is seeking a Data Governance leader to establish and lead data governance across infrastructure planning and supply chain organizations and systems. This role will define how critical infrastructure data is governed end to end, from intake and ownership through quality, controls, and adoption, so teams can make high-quality decisions, operate efficiently, and execute reliably at Meta scale. We will do this primarily by building software, mathematical models, and automated tracking of key performance metrics that make data quality, lineage, and control health measurable rather than aspirational. You will translate ambiguous governance needs into clear technical requirements, operating models, roadmaps, milestones, and measurable outcomes. This role is very cross-functional and provides an opportunity to work with supply chain partners, infrastructure engineering, planning, data center, networking, data science, analytics, finance, and operations teams to power the rapid growth of Meta's products. This is a senior individual-contributor role.

Responsibilities

• Own the end-to-end governance process for critical infrastructure data including intake, ownership, definitions, quality expectations, review cadences, decision rights, escalation paths, change management, and compliance monitoring.
• Develop and analyze business, manufacturing, and logistics data to identify governance gaps, source-of-truth conflicts, and data defects that degrade supply chain and capacity decisions.
• Establish durable operating mechanisms that clarify data ownership, stewardship responsibilities, source-of-truth expectations, approval flows, audit trails, exception handling, and accountability across teams.
• Drive cross-team adoption of governance standards and work with partner teams to ensure compliance with agreed internal processes, quality bars, and operating rhythms.
• Contribute to end to end supply chain processes, methodologies, and data to deliver an executable and optimized supply plan grounded in trustworthy inputs.
• Manage and resolve critical escalations and data exceptions across all areas of the supply chain.
• Identify technical dependencies, risks, sequencing constraints, rollout criteria, adoption blockers, and measurable success indicators across multiple infrastructure organizations.
• Work cross-functionally to define problem statements, collect data, build analytical models, and make recommendations that drive change at the most strategic levels.
• Communicate program strategy, status, risks, decisions, compliance health, and impact clearly to technical teams, cross-functional partners, and executive stakeholders.
• Create and maintain high-quality artifacts, including governance charters, technical program plans, cross-org roadmaps, ownership and RACI models, dependency trackers, risk and mitigation plans, rollout plans, compliance dashboards, and executive updates.
• Improve how Meta executes infrastructure data governance by simplifying processes, scaling repeatable patterns, and mentoring senior ICs and cross-functional partners.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience
• 10+ years of experience in operations research, industrial engineering, supply chain management, systems engineering