数据平台与治理经理

Represent the data strategy in forums with senior Finance, business, and engineering leaders — framing technical trade-offs in business terms, driving decisions, and building peer-level credibility across data domains

Drive prioritization and execution across partner teams outside your direct reporting line, translating business outcomes into a sequenced technical roadmap

Own a live, cross-domain view of delivery — milestones, owners, dependencies, and status — and connect it to an evidence-backed narrative of business impact for Finance stakeholders

Provide technical oversight of engineering standards, data assurance, and the business/semantic layer across all Finance data domains, ensuring consistency and quality at scale

Set and enforce data governance standards: metadata and documentation, metric definitions, glossary coverage, data ownership and pipeline SLAs, schema and naming conventions, and access controls

Own data quality and observability — monitoring, tiered alerting, lineage and impact analysis, and automated remediation

Ensure the accuracy and effectiveness of AI agents and analytics tools built on Finance data, including evaluation datasets, accuracy measurement, and sustained quality benchmarks

Hire, manage, and develop a team of data experts; set role scope, performance expectations, and career growth plans

Actively mentor team members at various experience levels — pairing on technical work, teaching platform and governance fundamentals, and creating opportunities for them to take on visible ownership

Partner closely with central Data Engineering and platform organizations, building internal capability while strengthening those relationships

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

Hands-on experience with modern data stacks: distributed warehouses and lakehouse architectures, pipeline orchestration and reliability, semantic/metrics layers, BI and self-service platforms, and data quality tooling

Experience influencing senior leadership on technical strategy, including presenting to and driving decisions with executive stakeholders

Experience driving execution across cross-functional teams outside of direct reporting lines

Experience defining measurable milestones and communicating delivery progress and business impact to non-technical stakeholders

Experience building the governed data and evaluation foundations that AI or LLM-based tools depend on, including accuracy measurement

Experience operating amid ambiguity and in-flight roadmaps, converting it into decision frameworks

Demonstrated track record mentoring and growing technical talent at various experience levels

Experience integrating enterprise third-party systems (ERP, HCM/payroll, banking, custodial, or vendor data feeds)

Experience with Finance, Accounting, Treasury, Tax, Payroll, or FP&A data domains, or a comparable regulated environment with audit and controls requirements

Experience building a team from a small base, including hiring and developing senior engineers

Meta builds technologies that help people connect, find communities, and grow businesses.

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Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology.

People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.

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

12+ years of experience in data engineering, data platform, or data architecture.

6+ years of experience directly managing technical teams.