Data Governance Checklist: 25 Items Every Program Needs

A data governance checklist is a structured list of items a program needs to operate effectively — covering ownership, quality, catalog, access, compliance, and operations. This 25-item checklist comes from real governance rollouts and serves as both a planning tool and an audit instrument.

Use this guide to check your existing governance program for gaps, or to plan a new one with confidence that you are not missing critical pieces.

Foundation (Items 1-5)

These five items establish the program. Without them, everything that follows is unfunded or unsupported.

• •1. Executive sponsor named and engaged
• •2. Governance charter documented and approved
• •3. Governance team identified with named roles
• •4. Initial scope defined (which domains, which systems)
• •5. Success metrics agreed and tracked

Ownership and Stewardship (Items 6-10)

• •6. Every business-critical dataset has a named owner
• •7. Owners are individuals, not team aliases
• •8. Stewardship workflow defined for handoffs
• •9. Ownership audited quarterly for accuracy
• •10. Ownership visible in the catalog and BI tools

Catalog and Metadata (Items 11-15)

• •11. Data catalog deployed with auto-ingestion
• •12. Business glossary maintained with named owners
• •13. Column-level lineage available for critical datasets
• •14. Search returns relevant results in under 30 seconds
• •15. Catalog integrates with BI, dbt, and AI clients

Quality and Operations (Items 16-20)

• •16. Quality SLAs defined per dataset
• •17. Automated quality checks running on every pipeline
• •18. Incident workflow with owner notification
• •19. Mean time to resolution tracked and reported
• •20. Quality status visible inline next to each metric

Access, Compliance, and Security (Items 21-25)

• •21. PII discovery automated across all datasets
• •22. Access policies codified in version control
• •23. Audit log captures every privileged access
• •24. Regulatory mappings documented for applicable laws
• •25. Quarterly access review process established

Using the Checklist

Walk through the checklist with the governance team. Mark each item green (in place), yellow (partial), or red (missing). The yellow and red items are your roadmap. Tackle them in the order shown — items earlier in the list usually unblock items later in the list.

Common Gaps

The most common gaps in real programs are items 9 (ownership audit), 13 (column-level lineage), 18 (incident workflow), and 21 (automated PII discovery). These are the items that require automation to maintain at scale — manual approaches always decay.

Data Workers addresses all 25 items in a unified platform. The catalog agent handles items 11-15. The quality agent handles items 16-20. The governance agent handles items 21-25. Ownership flows across all three. See the docs and our companion guide on data governance pillars.

To see how Data Workers helps you check off this list quickly, book a demo.

Twenty-five data governance checklist items, grouped into five categories. Use the checklist to find gaps, build a roadmap, and audit yourself quarterly. Programs that pass all 25 are rare — most have work to do, and that is exactly why the checklist matters.