**Summary:**

Integrity & Support Enablement (ISE), within Integrity & Support Operations (ISO), is a strategically-minded team building the shared architectures that enable Global Operations (GO) to operate from a single source of truth. The data architecture function within ISE ensures that operational data flows coherently between systems, that cost is attributed consistently, and that teams across GO speak a common language, so every team can measure, decide, and build without reinventing definitions.We are looking for a full-time Data Architecture Program Manager to join us. This is a function-building role: you will establish and scale the data governance and architecture practice for GO, defining the standards, frameworks, and integration patterns that multiple teams build on. Our program managers translate complex operational and technical requirements into shared data models, classification frameworks, and cross-system integration designs. They work closely with data science, engineering, and operations partners, serving as the connective layer between technical and non-technical stakeholders, and they deliver canonical structures that power decision-making at scale.

**Required Skills:**

Program Manager, Data Architecture, ISO Responsibilities:

1. Define and govern shared operational data models and classification frameworks used across multiple teams and systems

2. establish architectural standards designed to scale beyond any single team or program

3. Translate business requirements into data architecture designs, mapping how information should be structured, stored, and integrated to drive informed decision-making and measurable outcomes

4. Develop a deep understanding of how data flows between operational systems to identify gaps, inconsistencies, and opportunities for standardization

5. Drive cross-functional alignment on shared definitions, integration standards, and field-level agreements between teams where no single team has unilateral authority

6. Manage schema evolution and breaking changes across dependent systems, including deprecation planning, coordinating dependent teams through transitions, and stakeholder communication

7. Partner with data science and engineering teams to translate architectural decisions into production-grade data products and pipelines

8. Design cost attribution and resource modeling that ensures budget and workforce data reconciles end-to-end

9. Anticipate future data needs across operational teams and proactively design canonical structures before teams build in isolation

10. Set the long-term data architecture strategy for GO, shaping roadmaps across product, engineering, and operations partners

11. Enable the development of internal tools and decision systems by defining the data requirements, specifications, and governance frameworks they depend on

12. Develop data architecture capability across the broader organization by mentoring program managers and embedding architectural thinking in teams across GO

**Minimum Qualifications:**

Minimum Qualifications:

13. Bachelor's degree in a directly related field, or equivalent practical experience

14. BA/BSc degree in a quantitative, technical, or related field, or equivalent practical experience

15. 7+ years of program management or technical program management experience in a data-intensive technical environment

16. Demonstrated experience designing data models, taxonomies, or classification systems adopted across multiple teams or organizations

17. Ability to reason about data structures, schemas, pipeline architecture, and system integrations, including translating these concepts across technical and non-technical audiences

18. Proven track record of driving cross-functional consensus on shared standards or definitions, including with director- or VP-level stakeholders

19. Experience translating complex technical decisions for executive audiences and driving adoption across organizational boundaries

20. Experience leading schema governance or data standards programs end-to-end, including deprecation planning and migration coordination

21. Analytical thinking and structured problem-solving at scale

22. Experience working across global, multicultural teams

**Preferred Qualifications:**

Preferred Qualifications:

23. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

24. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

25. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

26. Experience building internal tools or decision systems from requirements through adoption (not just consuming them)

27. Experience working in a technology company or fast-paced global operations environment

28. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)

29. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

30. Experience with data pipeline orchestration, warehouse architecture, or ETL design

31. Experience with operational data in customer support, content moderation, trust & safety, or workforce management domains

32. Background in cost attribution, budget modeling, or operational finance

33. Experience managing schema governance and breaking changes across a large, distributed engineering organization

34. Proficiency in SQL and relational databases

35. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

36. Track record of establishing data governance frameworks or canonical standards adopted at org or company scale

37. Prior experience building or scaling a data architecture function from early stage

**Public Compensation:**

$123,000/year to $179,000/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.