Program Manager, Data Architecture, ISO

Meta; Menlo Park (CA); On-site; USD 123,000 - 179,000; Full time

Job summary

Meta is seeking a Data Architecture Program Manager to establish and scale the data governance and architecture practice for Global Operations. You will define standards, frameworks, and integration patterns used across multiple teams, translating complex requirements into shared data models and cross-system designs.

You will partner with data science, engineering, and operations teams to produce production-grade data products and scalable pipelines while guiding schema governance and

Qualifications

• 7+ years of program management experience in a data-intensive technical environment.
• Demonstrated experience designing data models, taxonomies, or classification systems adopted across multiple teams or organizations
• Ability to reason about data structures, schemas, pipeline architecture, and system integrations for both technical and non-technical audiences
• Proven track record driving cross-functional consensus on shared standards or definitions with senior stakeholders
• Experience translating complex technical decisions for executive audiences and driving adoption
• Experience leading schema governance, including deprecation planning and migration coordination
• Analytical thinking and structured problem-solving at scale
• Experience working across global, multicultural teams

Responsibilities

• Define and govern shared operational data models and classification frameworks used across multiple teams and systems
• Establish architectural standards designed to scale beyond a single team or program
• Translate business requirements into data architecture designs for structured data storage and integration
• Develop a deep understanding of data flows between operational systems to identify gaps and standardization opportunities
• Drive cross-functional alignment on shared definitions, integration standards, and field-level agreements
• Manage schema evolution and breaking changes, including deprecation planning and coordinating transitions
• Partner with data science and engineering teams to translate decisions into production-grade data products and pipelines
• Design cost attribution and resource modeling ensuring end-to-end budget and workforce data consistency
• Anticipate future data needs and design canonical structures before teams build in isolation
• Set long-term data architecture strategy for GO and roadmap across partnered teams
• Enable internal tools by defining data requirements, specs, and governance frameworks they depend on
• Develop data architecture capability by mentoring PMs and embedding architectural thinking across GO

Skills

Data modeling

Taxonomies

Cross-functional collaboration

Stakeholder communication

Schema governance

Data architecture

Cost attribution

Global / multicultural teamwork

Analytical thinking

Liaison with product/engineering

Education

Bachelor's degree

BA/BS in quantitative field

Tools

SQL

Relational databases

Job description

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.

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:

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

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

3. 7+ years of program management or technical program management experience in a data-intensive technical environment

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

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

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

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

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

9. Analytical thinking and structured problem-solving at scale

10. Experience working across global, multicultural teams

Preferred Qualifications:

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

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

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

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

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

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

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

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

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

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

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

12. Proficiency in SQL and relational databases

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

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

15. 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 Affiantative 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 [e-mail].