基础设施数据治理工程师 - 容量工程

Meta（Meta Platforms）岗位：Infrastructure Data Governance Engineer - Capacity Engineering Responsibilities

Execute governance processes for critical infrastructure data including intake, ownership, definitions, quality expectations, review cadences, escalation paths, change management, and compliance monitoring

Analyze business, manufacturing, and logistics data to identify governance gaps, source-of-truth conflicts, and data defects that degrade supply chain and capacity decisions

Build and maintain operating mechanisms and tooling that support data ownership, stewardship responsibilities, source-of-truth expectations, approval flows, audit trails, and exception handling

Support cross-team adoption of governance standards and partner with teams to meet agreed processes and quality bars

Contribute to end to end supply chain processes, methodologies, and data to deliver an executable supply plan grounded in trustworthy inputs

Track dependencies, risks, rollout criteria, adoption blockers, and success indicators for governance workstreams

Work cross-functionally to define problem statements, collect data, build analytical models, and make recommendations

Communicate project status, risks, decisions, and compliance health clearly to technical teams and cross-functional partners

Create and maintain high-quality artifacts, including project plans, ownership models, dependency trackers, risk and mitigation plans, rollout plans, compliance dashboards, and status updates

Improve how Meta executes infrastructure data governance by simplifying processes and scaling repeatable patterns

Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience

5+ years of experience in operations research, industrial engineering, supply chain management, systems engineering, technical program management, or related field

Experience with data quality, data management, or data governance practices such as ownership models, standards, controls, or compliance tracking

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

Experience communicating and translating technical and non-technical requirements for cross-functional stakeholders

Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

Experience in infrastructure, supply chain, data center, networking, capacity planning, logistics, or finance operational domains

Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

Technical understanding of infrastructure data domains, such as demand planning, capacity planning, inventory, sourcing, procurement, logistics, deployment, data center operations, networking, asset lifecycle, or service capacity

Experience working with partner teams across engineering, planning, supply chain, operations, analytics, and finance

Masters degree in Operations Research, Industrial Engineering, Computer Science, or related technical field

Familiarity with master data management practices, data quality frameworks, metric definitions, lineage, or stewardship models

Experience defining structure and next steps in loosely scoped problem spaces, and independently acquiring new domain knowledge to deliver results

7+ years of technical, manufacturing operations, or technical project management experience in the hardware systems or infrastructure industry

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Individual compensation is determined by skills, qualifications, experience, and location.

Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable.

In addition to base compensation, Meta offers benefits.

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5+ years of experience in operations research, industrial engineering, supply chain management, systems engineering, technical program management, or rel