Data Platform & Governance Manager

Meta; Austin, Menlo Park (TX, CA); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Meta, through its Business Services Finance Data & Analytics group, seeks a Manager to lead the technical layer of the Finance Data Strategy. You will grow a team of data engineers, set platform and governance standards, and present strategy to senior Finance and Engineering leaders.

You will be accountable for real-time delivery and business impact. You will shape governed data foundations for AI tooling, mentor engineers, and drive cross-functional collaboration to deliver measurable outcomes

Qualifications

• Bachelor's degree in CS/CE or equivalent practical experience.
• 12+ years in data engineering, data platform, or data architecture.
• 6+ years of experience directly managing technical teams.
• Experience owning a data platform or governance domain end-to-end at enterprise scale.
• Hands-on experience with modern data stacks: distributed warehouses and lakehouse architectures.
• Experience influencing senior leadership on technical strategy with executives.
• Experience driving cross-functional execution beyond direct reports.
• Ability to communicate delivery progress and business impact to non-technical stakeholders.
• Experience building governed data foundations for AI/LLM tools.
• Experience hiring and mentoring senior engineers.

Responsibilities

• Lead and grow a team of data engineers.
• Set platform and governance standards for Finance data domains.
• Represent strategy with senior Finance and Engineering leaders.
• Ensure timely delivery with measurable business impact.
• Drive adoption of governance across the organization.

Skills

Data governance

Data platform leadership

Executive stakeholder communication

Mentoring engineers

Cross-functional leadership

Strategic planning

Ambiguity management

Delivery management

Team building

Change management

Education

Bachelor's degree in Computer Science or related field

Tools

Data warehouses / lakehouse

Pipeline orchestration (e.g., Airflow)

BI/self-service platforms

Data quality tooling

Semantic/metrics layers

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.

Requirements and Experience:

• 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
• 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