Define and lead large-scale technical programs that establish and improve data governance across infrastructure planning, supply chain, data center, and networking teams. Set the end-to-end governance process for critical infrastructure data, including intake, ownership, definitions, quality expectations, review cadences, decision rights, escalation paths, change management, compliance monitoring, and continuous improvement. Partner with infrastructure engineering, planning, supply chain, data center, networking, data science, analytics, finance, operations, and business stakeholders to translate governance objectives into technical requirements, milestones, ownership models, and execution plans.
Establish durable operating mechanisms that clarify data ownership, stewardship responsibilities, data definitions, 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. Build mechanisms for data quality, completeness, consistency, lineage, change control, access expectations, metric definitions, reporting, control health, and issue remediation, as applicable to the infrastructure data domain.
Identify technical dependencies, risks, sequencing constraints, rollout criteria, adoption blockers, and measurable success indicators across multiple infrastructure organizations. Use data, system understanding, and operational context to identify governance gaps, prioritize investments, and influence roadmaps across partner teams. 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 Data Governance Lead artifacts, including governance charters, technical program plans, cross-org roadmaps, RACI or ownership 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 Data Governance Leads and cross-functional partners on effective program execution.