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About the Role
Meta is seeking a technically strong problem-solver to join the Data & System Assurance team within Global Controllership. This role involves governing and fortifying Meta's complex global accounting systems by building data-driven solutions for accuracy, control, and scalability. You will leverage deep technical skills and a strong risk mindset to solve complex analytical and systems problems, understand Meta's systems and code base, and partner with engineering, product, and accounting teams to strengthen the control environment. You will also support new product launches for system readiness and compliance, and build AI-integrated solutions for scale.
Responsibilities
- Develop an end-to-end understanding of Meta's accounting products, processes, system dependencies, controls, and risks
- Partner closely with engineering and product teams to design scalable data infrastructure and system solutions
- Translate complex business and accounting rules into automated controls and continuous monitoring
- Assess the SOX impact of new products and system changes, and support control design, testing, and remediation
- Standardize and improve upstream data sources to strengthen accounting accuracy
- Build and maintain monitoring and automation that surface risks and anomalies before they reach the financials
- Leverage internal AI tools and build AI-integrated solutions to scale insights and operational efficiency
- Communicate complex technical concepts clearly to accounting, audit, and engineering audiences
Requirements
- Bachelor's degree in a directly related field, or equivalent practical experience
- Bachelor's degree in a quantitative field (Statistics, Computer Science, Engineering, Mathematics, Data Science, Finance, Economics, or equivalent)
- 8+ years of relevant experience in analytics, engineering, finance systems, or a similar field working on systems and scaling processes
- 3+ years of experience with SQL in a highly complex data environment
- Track record of independently driving ambiguous, end-to-end technical workstreams with limited direction
- Demonstrated success working with large, complex datasets
- Experience partnering effectively with large, diverse cross-functional teams (Engineering, Finance, Operations)
- Experience communicating complex concepts to a wide range of audiences
Skills
- SQL
- Python
- Data visualization tools (Tableau, Power BI, or similar)
- Modern data platforms and pipeline orchestration tools (e.g., Databricks, Spark, Airflow)
- AI tools
Location
- Remote
Work Type
- Full-time
Experience Level
- 8+ years of relevant experience
- 3+ years of experience with SQL
Education Level
- Bachelor's degree in a quantitative field
Salary/Compensations
- $152,000/year to $214,000/year
Benefits
- bonus
- equity
- benefits
About the Company
- Meta is seeking a technically strong problem-solver to join the Data & System Assurance team within Global Controllership.