System Assurance Manager

**Summary:** Meta is seeking a technically strong problem-solver to join the Data & System Assurance team within Global Controllership. In this role you will help govern and fortify Meta's complex global accounting systems, building data-driven solutions that keep our accounting accurate, controlled, and scalable as our product landscape evolves. You will use deep technical skills combined with a strong risk mindset to solve complex analytical and systems problems, develop a deep understanding of Meta's systems and code base and their downstream impact on accounting, and partner closely with engineering, product, and accounting teams to strengthen the control environment. You will support the launch of new products, transactions, and processes to ensure system readiness and compliance, and build AI-integrated solutions that let us do this work at scale. **Required Skills:** System Assurance Manager Responsibilities: 1. Develop an end-to-end understanding of Meta's accounting products, processes, system dependencies, controls, and risks 2. Partner closely with engineering and product teams to design scalable data infrastructure and system solutions 3. Translate complex business and accounting rules into automated controls and continuous monitoring 4. Assess the SOX impact of new products and system changes, and support control design, testing, and remediation 5. Standardize and improve upstream data sources to strengthen accounting accuracy 6. Build and maintain monitoring and automation that surface risks and anomalies before they reach the financials 7. Leverage internal AI tools and build AI-integrated solutions to scale insights and operational efficiency 8. Communicate complex technical concepts clearly to accounting, audit, and engineering audiences **Minimum Qualifications:** Minimum Qualifications: 9. Bachelor's degree in a directly related field, or equivalent practical experience 10. Bachelor's degree in a quantitative field (Statistics, Computer Science, Engineering, Mathematics, Data Science, Finance, Economics, or equivalent) 11. 8+ years of relevant experience in analytics, engineering, finance systems, or a similar field working on systems and scaling processes 12. 3+ years of experience with SQL in a highly complex data environment 13. Track record of independently driving ambiguous, end-to-end technical workstreams with limited direction 14. Demonstrated success working with large, complex datasets 15. Experience partnering effectively with large, diverse cross-functional teams (Engineering, Finance, Operations) 16. Experience communicating complex concepts to a wide range of audiences **Preferred Qualifications:** Preferred Qualifications: 17. Experience with modern data platforms and pipeline orchestration tools (e.g., Databricks, Spark, Airflow) 18. Familiarity with accounting, controllership, internal audit, and/or risk management principles 19. Experience with Python and building automation or monitoring 20. Familiarity or experience with IT audits, ITGCs, and/or SOX compliance 21. Experience building or applying AI tools to analytical or systems problems 22. Experience with data visualization tools (Tableau, Power BI, or similar) **Public Compensation:** $152,000/year to $214,000/year + bonus + equity + benefits **Industry:** Internet **Equal Opportunity:** 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.