Director, Data Governance (REMOTE, WA)

Role overview A senior director-level position charged with executing an already-defined AI-ready data governance strategy across a multi-source enterprise data estate. The work blends deep subject-matter expertise with a builder's mindset, turning governance from a periodic exercise into a continuous, automated rhythm. The successful hire will deliver certified data products backed by live trust scores, clear ownership, and active lineage rather than static documentation. Responsibilities Operate a Databricks Unity Catalog and a business-facing catalog layer (such as Atlan) as the certification backbone, progressing coverage domain by domain through Bronze, Silver, and Gold pipelines Stand up continuous, agent-driven quality scoring so trust metrics persist after sign-off and trigger automated follow-up actions Produce executive intelligence reporting that gives leadership a current, evidence-based view of how much of the organization's data can be trusted and why Register and govern the AI agents that consume enterprise data, while personally using agentic tools daily to move faster Align distributed data and business owners across Sales, Marketing, Finance, and HR on a common set of governance standards Shape approach to ambiguous, high-visibility initiatives and influence organizational direction through the standards authored Requirements Bachelor's degree in business, data science, information systems, a quantitative discipline, or equivalent practical experience 7+ years in enterprise data governance, data management, or go-to-market data operations Track record running a data and AI governance program end to end: setting standards, securing distributed owner adoption, and holding the outcome Hands-on working knowledge of Databricks Unity Catalog and a business-facing catalog such as Atlan, including certifying metrics from source through to consumption Daily practitioner experience with AI coding or agent tools (for example Claude or comparable assistants) used as a core working instrument Ability to set guardrails and guide how others use agentic tooling across the team Nice to have Experience designing federated governance models that balance central standards with distributed ownership Comfort operating in environments where AI tooling and roadmaps shift frequently and plans must adapt Background aligning stakeholders across multiple business domains on shared data definitions Benefits and work setup Fully remote role based in Washington state Health coverage and retirement plans Unlimited paid time off Parental support program plus paid volunteer time 24/3 virtual veterinary care at no cost Legal services, identity protection, and supplemental health insurance options Tax-advantaged spending accounts for healthcare, dependent care, and commuting Learning support through on-demand libraries, mentoring, workshops, and an annual company-wide learning day Compensation philosophy emphasizing pay transparency and equitable pay, with performance-based bonus on top of base pay #J-18808-Ljbffr Veeam Software