Program Manager, Data Architecture, ISO

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
Define and govern shared operational data models and classification frameworks used across multiple teams and systems; establish architectural standards designed to scale beyond any single team or program
Translate business requirements into data architecture designs, mapping how information should be structured, stored, and integrated to drive informed decision-making and measurable outcomes
Develop a deep understanding of how data flows between operational systems to identify gaps, inconsistencies, and opportunities for standardization
Drive cross-functional alignment on shared definitions, integration standards, and field-level agreements between teams where no single team has unilateral authority
Manage schema evolution and breaking changes across dependent systems, including deprecation planning, coordinating dependent teams through transitions, and stakeholder communication
Partner with data science and engineering teams to translate architectural decisions into production-grade data products and pipelines
Design cost attribution and resource modeling that ensures budget and workforce data reconciles end-to-end
Anticipate future data needs across operational teams and proactively design canonical structures before teams build in isolation
Set the long-term data architecture strategy for GO, shaping roadmaps across product, engineering, and operations partners
Enable the development of internal tools and decision systems by defining the data requirements, specifications, and governance frameworks they depend on
Develop data architecture capability across the broader organization by mentoring program managers and embedding architectural thinking in teams across GO

Minimum Qualifications:

Bachelor's degree in a directly related field, or equivalent practical experience
BA/BSc degree in a quantitative, technical, or related field, or equivalent practical experience
7+ years of program management or technical 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, including translating these concepts across technical and non-technical audiences
Proven track record of driving cross-functional consensus on shared standards or definitions, including with director- or VP-level stakeholders
Experience translating complex technical decisions for executive audiences and driving adoption across organizational boundaries
Experience leading schema governance or data standards programs end-to-end, including deprecation planning and migration coordination
Analytical thinking and structured problem-solving at scale
Experience working across global, multicultural teams

Preferred Qualifications:

Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Experience building internal tools or decision systems from requirements through adoption (not just consuming them)
Experience working in a technology company or fast-paced global operations environment
Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
Experience with data pipeline orchestration, warehouse architecture, or ETL design
Experience with operational data in customer support, content moderation, trust & safety, or workforce management domains
Background in cost attribution, budget modeling, or operational finance
Experience managing schema governance and breaking changes across a large, distributed engineering organization
Proficiency in SQL and relational databases
Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
Track record of establishing data governance frameworks or canonical standards adopted at org or company scale
Prior experience building or scaling a data architecture function from early stage

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and Whats App further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
For those who live in or expect to work from California if hired for this position, please click here for additional information.
United States of America: $123,000/year to $179,000/year + bonus + equity + benefits
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.

Equal Employment Opportunity:

Meta is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice here.
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