What is data governance?

Data governance is the system of decision rights, accountabilities, policies, and processes that an organization uses to manage data as an asset. It defines who can take which actions on which data, under what circumstances, and using what methods. It covers data quality, metadata, lineage, access control, classification, retention, and regulatory compliance.

What is the difference between data governance and data management?

Data governance defines the rules — who decides, who is accountable, what the policies are. Data management executes against those rules — pipelines, storage, quality monitoring, cataloging, integration. Governance is the policy layer; management is the operational layer. The two are interdependent but distinct disciplines.

Who should own data governance in an organization?

Ownership is typically split: a Chief Data Officer or equivalent executive owns the program, a data governance council sets policy, data stewards in business domains own the rules for their data, and data engineering executes the technical controls. The exact structure depends on company size and regulatory exposure, but governance is never just an IT or just a business function — it has to span both.

Is The Data Governor written by practitioners?

Yes. The Data Governor is a practitioner-authored editorial site. Articles are written from real implementation experience, not by AI or by content marketers. There is no paywall, no sign-up, and no sponsored content.

Data Governance for Practitioners

Data governance, from the trenches.

The Data Governor is a practitioner-authored resource for data governance — covering frameworks, master data management, metadata, data quality, and compliance (GDPR, CCPA, HIPAA). 109+ in-depth articles and free, ready-to-use templates drawn from real enterprise programs. No vendor marketing, no fluff.

Browse the archive Free templates

Data Governance Latest

Data Governance Glossary: 80 Terms (2026)

The definitive practitioner's glossary of data governance terms — from access control to zero-trust data — with practical context, not vendor marketing.

Apr 25, 2026 Read article →

Data Steward Job Description: Duties, Skills, Salary

A complete data steward job description: core duties, required skills, salary ranges, interview questions, and a free downloadable JD template pack.

Aug 12, 2026

Data Governance

Best Free Data Governance Maturity Assessment Tools

The genuinely free data governance maturity assessments compared: DCAM, CDMC, DataCamp, public-sector tools, and interactive DAMA-based options - no email gates.

Aug 11, 2026

Data Governance Tools

Data Governance Platforms Ranked: 2026 Scoring Matrix

Data governance platforms ranked for 2026: six platforms scored on six criteria, the reasoning behind every number, and how to re-weight for your shortlist.

Jul 29, 2026

Quick reads

01
Can AI Write Data Quality Rules? A Review Rubric for AI-Generated Checks AI for Data Governance · Jul 27, 2026
02
Data Catalog Metadata: Capture, Inherit, and Maintain at Data Management · Jun 25, 2026
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Collibra vs Microsoft Purview: 2026 Buyer's Guide Data Governance Tools · Jun 19, 2026
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What Is Data Observability? A Practitioner's Guide Data Management · Jun 19, 2026
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Data Subject Access Requests (DSARs): A Practical Guide Compliance · Jun 18, 2026

From the archive

Data Management

Data governance, from the trenches.

Data Governance Glossary: 80 Terms (2026)

Data Steward Job Description: Duties, Skills, Salary

Best Free Data Governance Maturity Assessment Tools

Data Governance Platforms Ranked: 2026 Scoring Matrix

Data Profiling: Techniques, Tools, and Best Practices

What Is Microsoft Purview? A Practitioner's Guide

MDM Implementation Styles: Registry to Centralized

Data Retention Policy: How to Build One That Holds Up

Open Source Data Catalogs: DataHub vs OpenMetadata

Data Governance Council: Structure, Roles, and How to Run One

Data Quality Metrics & Monitoring: A Practitioner's Framework (2026)

Data Compliance & Regulations: The Complete Guide

Data Governance Business Case: The Numbers CFOs Care About

Data Lineage for Compliance: Practical Impact Analysis