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
Director, Data Governance (REMOTE, WA) in workfromhome at Unknown Company
This position is listed as full time and able to be worked remotely.