Data Platform & Governance Manager Meta - 4.0 Menlo Park, CA Job Details $181,000 - $249,000 a year 8 hours ago Qualifications Project reporting Data quality checks Commercial use (data warehousing systems) Business intelligence Tooling Managing IT teams Managing data teams Business intelligence tools Managing engineering teams Data integrity process (data warehousing) Distributed systems DataOps (Data management) Leading team collaboration initiatives Project stakeholder communication Data analytics technologies Cross-functional communication Progress tracking (project management tasks) Senior leadership Full Job Description Meta Business Services Finance Data & Analytics builds the governed data foundation that Meta's Finance organization runs on — the certified datasets, semantic models, and data products that controllers, accountants, business partners, and AI agents rely on to answer questions and make decisions.

We are hiring a Manager, Data Platform & Governance to lead the technical layer of our Finance Data Strategy. This is a hybrid leadership role: you will manage and grow a team of data engineers, set and enforce the platform and governance standards our Finance data domains are built to, and represent the strategy directly with senior Finance and Engineering leaders. You will be accountable for delivery that is visible in real time, and for outcomes that measurably change how Finance teams work day to day.

Data Platform & Governance Manager Responsibilities:

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

Minimum Qualifications:

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 Experience owning a data platform or data governance domain end to end at enterprise scale 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

Preferred Qualifications:

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

About Meta:

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. 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. Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment. Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at . $181,000/year to $249,000/year + bonus + equity + benefits 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. Learn more about benefits at Meta.