Director, Data Governance and Analytics Experience - 991326

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Primary Purpose:

Leads the University’s domain-based data governance, metadata management, data quality, stewardship, analytics experience, and data adoption capabilities. Serves as the human-centered bridge between institutional business areas and the technical data and analytics organization. Builds trust and shared understanding with academic, administrative, and operational domains; facilitates agreement on definitions, ownership, measures, quality, and priorities; and ensures those decisions are translated into trusted data products and effective analytical experiences. Partners closely with Data Products & Analytics Engineering, Information Technology, Data Engineering, security, institutional leadership, data owners, data stewards, and business users to build an analytics environment that people understand, trust, adopt, and use effectively.

 

Job Category: Exempt

Hiring Range:  Commensurate with experience

Pay Basis:  Annually

Subject to Grant Funding? No  

Essential Job Functions: 

1. Defines and executes the institutional data governance, metadata management, analytics experience, adoption, and data literacy strategy in alignment with the enterprise data and analytics roadmap.
2. Establishes governance as an embedded, domain-based operating capability that directly supports data products, semantic models, analytics experiences, process improvement, and institutional decision-making.
3. Builds trusted relationships with academic, administrative, and operational leaders to understand business processes, decisions, pain points, information needs, and opportunities for improvement.
4. Leads structured product and requirements discovery with domain stakeholders, converting business needs into clear problem statements, desired outcomes, use cases, definitions, acceptance criteria, and prioritized product requirements.
5. Establishes governance forums, domain councils, stewardship structures, decision rights, escalation paths, and accountability practices.
6. Leads the formation and facilitation of the Data Stewardship Council and domain working groups addressing definitions, ownership, metadata, quality, access, policy, analytics, and data product readiness.
7. Defines data owner, data steward, business process owner, data product owner, metric owner, and technical owner responsibilities.
8. Owns and matures the institutional business glossary, metric and KPI dictionary, enterprise taxonomy, domain vocabularies, metadata standards, and business-context documentation.
9. Leads business metadata management, including asset descriptions, ownership, domain attribution, glossary alignment, certification, classification review, usage context, and discoverability.
10. Partners with Information Technology and platform administrators on Microsoft Purview configuration, source registration, technical scanning, lineage capture, classification, and metadata integration.
11. Guides the Metadata & Data Governance Analyst in curating Purview assets, connecting business terms to technical assets, monitoring metadata completeness, and improving catalog usability.
12. Establishes a data quality framework covering critical data elements, quality dimensions, business rules, thresholds, issue intake, root-cause analysis, remediation, escalation, ownership, and monitoring.
13. Facilitates resolution of conflicts involving definitions, metrics, ownership, data quality, access, business rules, and appropriate use.
14. Defines governance and experience readiness criteria for domain data products and semantic models.
15. Partners with the Director of Semantic Data Products & Analytics Engineering to develop data contracts that document business meaning, source expectations, grain, required attributes, quality rules, refresh expectations, ownership, dependencies, and change protocols.
16. Ensures each data product and semantic model has an identified audience, business purpose, owner, steward, definitions, quality expectations, metadata, certification