• 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.