Infra Data Engineering Leader, Analytics

**Summary:** Ads Infra is a critical part of Meta's business, responsible for building and maintaining the Serving and Data infrastructure that powers the company's advertising products. The mission is to ensure the reliability, scalability, and efficiency of the ads platform, which includes everything from data storage and processing to ML, inference, and algorithm development.Ads Ranking & AI Infrastructure org is responsible for delivering ads across all our placements (Facebook, Instagram, Messenger, WhatsApp, etc.). The team has consistently contributed the major part of overall Meta’s revenue growth over the years. At the same time, we have been the trailblazer for Meta’s most complex recommender system, e.g., delivering the first NN recommender model and landing the first large GPU powered recommender model.Together with the Infra + Ranking DS team, the Ads Online Infra DE team supports the ML Infra team with analytics solutions that ensure data and serving infrastructure remain highly reliable and any negatively impacting issues that arise are quickly identified and mitigated. We are responsible for the entire monetization's capacity management and reliability effort.The Ads Online Infra team is directly involved in Monetization, AI, and Capacity, key company priorities. The key product area we support is Monetization Capacity. End-to-end Monetization infrastructure capacity usage, supply and demand, and efficiency footprint across CPU, GPU, and Shared Platforms. **Required Skills:** Infra Data Engineering Leader, Analytics Responsibilities: 1. Manage the delivery of high impact dashboards and data visualizations 2. Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs 3. Define the processes needed to achieve operational excellence in all areas, including project management and system reliability 4. Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision 5. Build a high-quality BI and Data Warehousing team and design the team to scale 6. Manage data warehouse plans across a product vertical 7. Drive the design, building, and launching of new data models and data pipelines in production 8. Drive data quality across the product vertical and related business areas 9. Define and manage SLA’s for all data sets and processes running in production **Minimum Qualifications:** Minimum Qualifications: 10. 9+ years of experience in BI and Data Warehousing 11. Experience scaling and managing 10+ person teams 12. Experience managing managers 13. Experience leading cross-functional initiatives and communicating technical strategy to engineering and business stakeholders 14. Project management experience 15. Data architecture experience 16. Experience in SQL or similar languages 17. Development experience in at least one object-oriented language (Python, Java, etc.) **Preferred Qualifications:** Preferred Qualifications: 18. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies 19. Experience with data sets, Hadoop, and data visualization tools 20. Advanced degree 21. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) 22. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) 23. Experience in a consumer web or mobile company **Public Compensation:** $210,000/year to $281,000/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.