Data Program Manager

Data Product Owner Own the data product roadmap, map data flows across systems, and lead hands-on data governance — bridging business processes and technical execution, not just coordinating them. Full-Time · Remote LATAM | Based in LATAM | English B2+ | 4+ Years Experience | Mid-Senior Level About the Role One of Committed Staff's clients is looking for a Data Product Owner to own the direction and quality of their data products. This person will map data end-to-end across systems, cross-reference sources, and translate business processes into clear data models — working hands-on with SQL and databases rather than only coordinating others. They'll lead data governance practices and ensure the data itself is accurate, well-defined, and usable. A great fit for someone who understands the business but is just as comfortable getting into the execution — not a project manager, but a builder who owns the "how." What Success Looks Like Data that flows correctly between systems, is well governed, and is trusted by the business. A Product Owner who can open a query, trace a mapping, and explain both the technical reality and the business impact — without needing a translator. How You'll Work Location: Remote · LATAM Schedule: U.S. Business Hours Language: English B2+ Key Responsibilities Data Mapping — Map data flows system to system, identifying sources, transformations, and destinations across the data landscape. Data Governance — Define and enforce governance practices: data quality, lineage, standard definitions, and access control. Hands-On Execution — Write and review SQL directly to explore, validate, and troubleshoot data, not just delegate the analysis. Business Translation — Translate business processes into clear data requirements for engineering and analytics teams. Roadmap Ownership — Define and prioritize the data product roadmap, aligned to real business needs and outcomes. Documentation — Document data dictionaries, mappings, and business rules for each data domain under ownership. Requirements Required: 4+ years of experience in a data-focused Product Owner, Data Analyst, or hybrid data/product role. Advanced SQL: complex joins, subqueries, window functions, and query optimization. Solid experience with relational databases (PostgreSQL, MySQL, SQL Server, or similar). Proven experience mapping data flows and integrations across systems (ERP, CRM, data warehouse, APIs). Experience in data governance: quality, lineage, cataloging, and standard definitions. Deep understanding of business processes and how they translate into data structures. English B2 or higher — able to work fluently with U.S.-based stakeholders. Nice to have: Familiarity with BI tools: Power BI, Looker, Tableau, or similar. Experience with ETL/ELT tools or data pipelines. Knowledge of data modeling frameworks (dimensional modeling, entity relationships). Tools & Technologies Core stack: SQL, Relational Databases, Data Modeling, Data Governance Advantageous: Power BI, ETL/ELT, Python, Data Catalogs You're the Right Fit If You Are A hands-on builder: You don't stop at defining requirements — you open the query, check the join, and confirm the data is actually right. A process-to-data translator: You understand how a business process becomes a data structure, and you can map it end to end. Governance-minded: You know that data without governance isn't an asset, it's a liability. You build the frameworks that keep it trustworthy. Not a project manager: You care about outcomes, not just timelines. Execution and ownership matter more to you than status updates. Ready to own data at scale? Apply through Committed Staff — we'll guide you through every step of the process.