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.