Data Platform & Governance Manager

About the TeamData Foundations & Infrastructure (Data Foundations & Infrastructure) is a newly established team within Workforce Strategy & Insights (Workforce Strategy & Insights), responsible for owning and delivering data foundations and scalable support for reporting, analytics, and AI-readiness across WSI and for People@ at scale. We partner closely with Workforce Planning and Headcount Management teams, People Analytics (workforce insights and engagement), and enterprise stakeholders to ensure that workforce data powers executive decision-making across Meta.This role will lead two critical pods within DFI:AI Enablement: Develop, evaluate, and productionalize AI agents that scale analyst impact and deliver trusted, intelligent insights across workforce management domains.Data Infrastructure and Automation Tools: Build, maintain, and modernize scalable data pipelines, automation tooling, and access management to revamp operations for efficiency and AI readiness.The RoleWe are looking for a Senior Analytics Manager to lead the data foundations and AI capabilities that workforce intelligence at Meta runs on — owning both the pipelines and automation tooling that produce our data and the AI agents that consume it. This is a leadership role at the intersection of data engineering, AI productionalization, and workforce analytics — reporting directly to the Director of DFI.You will manage two established pods, each with an experienced pod lead, and own the strategy that connects them: building pipelines and automation optimized for agent consumption, and building the agents that turn them into trusted insights. You'll set technical direction and operating model, modernize legacy pipelines and consolidate self-service tooling, and partner deeply across People, Infrastructure & Engineering (PIE), Data Governance, Workforce Management, People Analytics, and Finance.This is a net-new role with significant latitude to shape the operating model and technical direction of both pods — with direct visibility to VP+ leadership and company-wide impact on how Meta plans and manages its 70,000+ person workforce. Data Platform & Governance Manager Responsibilities: Lead and develop two pods (\~8 people, including two pod leads) spanning data engineering and AI development, promoting technical excellence, speed, and AI-native thinkingDefine and execute the strategic roadmap for data infrastructure modernization — migrating and revamping legacy pipelines into scalable, automated systems optimized for AI consumptionOwn the end-to-end AI enablement strategy: building, evaluating, and deploying AI skills, agents, and evaluation frameworks that deliver trusted workforce insights at scaleUphold and advance "Agent vs. Analyst" parity — ensuring agents reach the same conclusions an analyst would, in a manner that is reconcilable and evaluableOwn the reliability layer for AI readiness: pipelines built to agent-appropriate standards for latency, format, and refresh cadence, with data quality and compliance guarantees behind every agentDrive the development and consolidation of self-service automation tools with ongoing monitoring and continuous improvementPartner with domain owners to define guidelines for core versus bespoke skill creationImplement product enhancements, including Context Library, Metric Governance, YAML configurations, and semantic layer builds, to drive AI agent accuracyEstablish and maintain operating models for ownership of tables, pipelines, access control lists, skills, evaluations, and agents across DFI, WSI, and XFN partnersPartner with Data Governance on metric and AI-skill certification, and ensure compliance with People data classification standardsCollaborate with Workforce Management, People Analytics, Finance, and Recruiting leadership to ensure our data foundations support workforce planning, headcount management, and executive reporting needsMaintain technical depth sufficient to evaluate the direction, critically evaluate the pipeline and agent design, and hold credibility with your teams Minimum Qualifications: Bachelor's degree in Computer Science, Computer Engineering, a relevant technical field, or equivalent practical experienceExperience influencing and partnering with executive stakeholders (VP+) across technical and business functionsExperience defining measurable milestones and communicating delivery progress and business impact to non-technical stakeholders12+ years of progressive experience in data analytics, data engineering, or a related quantitative field6+ years of people management experience, including managing senior ICs or team leads across data engineering and/or analytics teamsDemonstrated experience leading AI-native transformations — shipping AI/ML-powered products, LLM-based agents, or automated analytics solutions from concept to productionHands-on experience with generative AI tools and large language models (LLMs) for analytics, reporting, and automationExperience building evaluation frameworks and quality standards for AI/ML outputsStrong technical foundation in SQL, Python, and data pipeline orchestration (Airflow, Dataswarm, or equivalent)Track record of defining and executing multi-quarter technical roadmaps for data infrastructure modernization at scaleExperience building or modernizing pipelines and self-service automation tooling used by analysts and downstream productsExperience managing data governance, access controls, and compliance for sensitive data domains Preferred Qualifications: Familiarity with HRIS systems (Workday), enterprise data architecture, and HR data structuresBackground building or managing AI agent systems, including skills development, evaluation pipelines, and productionalization workflowsExperience designing metric semantics, context libraries, or semantic layers that both human-facing products and AI agents consumeExperience operating amid ambiguity and in-flight roadmaps, converting it into decision frameworksDemonstrated track record of mentoring and developing technical talent across career stagesExperience preparing data platforms for agentic consumption — metadata quality, lineage, and certification at scaleExperience at a large-scale technology company managing analytics or data engineering teams supporting corporate functionsExperience in People/HR analytics, workforce planning, or enterprise data domainsGraduate degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field 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 accommodations-ext@meta.com. $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.