Senior Data Governance Lead - Infrastructure & Supply Chain

Meta

Bellevue (WA)

On-site

USD 219,000 - 301,000

Full time

14 days+
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Job summary

Meta is seeking a Data Governance leader to establish and guide governance across infrastructure planning and supply chain systems. This role will define end-to-end governance for critical data, from intake to quality, controls, and adoption, enabling high-quality decisions at Meta scale.

The successful candidate will build software, models, and automated metrics to measure data health, drive cross-functional adoption, and influence senior leaders without direct authority, while mentoring senior

Qualifications

  • Bachelor's degree or equivalent practical experience in a technical field.
  • 10+ years in operations research, industrial engineering, or related field.
  • Experience leading data governance programs with end-to-end processes, ownership models, standards, controls, adoption mechanisms, and compliance tracking.
  • Experience delivering technical programs across multiple teams or organizations.
  • Experience communicating and translating technical and non-technical requirements for cross-functional stakeholders.
  • Experience working with cross-functional teams.
  • Experience managing ambiguity, with a drive for continuous learning.

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.

Skills

End-to-end governance
Data quality
Data lineage
Stakeholder communication
Cross-functional collaboration
Program leadership
Change management
Compliance monitoring
Problem solving
Risk assessment

Education

Bachelor's degree in CS/Engineering or equivalent
Masters or PhD preferred

Tools

Python
R
Java
C
C++
PHP

Job description

Meta is seeking a Data Governance leader to establish and guide governance across infrastructure planning and supply chain systems. This role will define end-to-end governance for critical data, from intake to quality, controls, and adoption, enabling high-quality decisions at Meta scale.

The successful candidate will build software, models, and automated metrics to measure data health, drive cross-functional adoption, and influence senior leaders without direct authority, while mentoring senior

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