Data Architecture PM for Global Operations & Standards

Meta; Seattle (WA); On-site; USD 123,000 - 179,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Meta is seeking a Data Architecture Program Manager to establish and scale the GO data governance and architecture practice. You will define standards, frameworks, and integration patterns that multiple teams build on, translating complex requirements into canonical data models and cross-system designs.

You will mentor program managers, drive cross-functional consensus, and partner with data science, engineering, and operations to deliver data products and pipelines that power decision-making at

Qualifications

• 7+ years of program management or technical program management experience in a data-intensive technical environment.
• Experience designing data models, taxonomies, or classification systems adopted across multiple teams.
• Ability to translate concepts across technical and non-technical audiences and drive cross-functional consensus.
• Experience leading schema governance, deprecation planning, and migration coordination.

Responsibilities

• Define and govern shared operational data models and classification frameworks used across teams.
• Establish architectural standards that scale beyond a single team or program.
• Translate business requirements into data architecture designs for cross-system integration.
• Develop understanding of data flows to identify gaps and opportunities for standardization.
• Partner with data science and engineering to translate decisions into production-grade data products.

Skills

Program management

Data modeling

Cross-functional collaboration

SQL

Schema governance

Data architecture

Education

Bachelor's degree in a quantitative/technical field

BA/BSc in a related field

Tools

SQL & relational databases

ETL tools

Data governance tools

Job description

Meta is seeking a Data Architecture Program Manager to establish and scale the GO data governance and architecture practice. You will define standards, frameworks, and integration patterns that multiple teams build on, translating complex requirements into canonical data models and cross-system designs.

You will mentor program managers, drive cross-functional consensus, and partner with data science, engineering, and operations to deliver data products and pipelines that power decision-making at