Data Product Owner

Analytica•Bethesda, MD

About The Position

Analytica is seeking a data products Product Owner to provide product vision and delivery of clients’ data products and catalog implementations. Translate business outcomes into a practical roadmap, partner with engineering, and drive adoption of data governance capabilities on agile project teams for federal government clients in the DC metro area. The ideal candidate will be comfortable working directly with clients in both a consulting and delivery capacity to tackle complex, enterprise cloud or on-premises software and technology projects. Analytica has been recognized by Inc. Magazine as a fastest-growing private US small business. We work with U.S. government customers in health, civilian, and national security missions. Analytica offers competitive compensation with opportunities for bonuses, employer paid health care, training and development funds, and 401k match.

Requirements

Bachelor’s degree in related field
3+ years as a Product Owner/Business Analyst in data management/governance
Knowledge of metadata management, data lineage, business glossaries/stewardship, data quality, and policy/governance frameworks (e.g., DAMA‑DMBOK); awareness of GDPR/CCPA.
Proven Agile/Scrum execution using tools such as Jira; experience in writing user stories and BDD‑style acceptance criteria.
Experience collaborating with data engineers on ingestion from platforms like Databricks, Snowflake, BigQuery, AWS Redshift, Oracle, or SQL Server; basic SQL for validation is a plus.
Excellent stakeholder management and communication skills; able to translate technical concepts into business value in client-facing environments.
Must be a Green Card holder or U.S. Citizen to obtain the Public Trust clearance

Nice To Haves

Experience working with the Food and Drug Administration

Responsibilities

Regularly interface with clients at numerous levels of an organization—project managers, stakeholders, end-users, data owners, analysts, IT groups, management, and executives—to drive the delivery of data management and governance products
Own and prioritize the backlog for data product rollouts; convert business outcomes into epics, user stories, and clear acceptance criteria.
Lead requirements gathering via stakeholder interviews, workshops, and process mapping; reconcile competing needs and set release priorities.
Define end‑to‑end test scenarios (UAT) for metadata ingestion, lineage, search, glossary/stewardship workflows, coordinate test execution and defect triage.
Partner with data engineering/architecture to design connectors, curation pipelines, and governance workflows that are scalable, secure, and compliant.
Drive change management and training; track adoption KPIs (catalog coverage, active users, glossary completeness, steward SLAs) and report progress to sponsors.