Data & Analytics

Data Governance Framework Diagram

Map governance roles, policies and controls from council down to data assets.

Free to start · Fully editable · Export GIF, MP4, PNG & SVG

What's in this template

11 connected components you can rename, recolor, and extend with AI.

Policies & StandardsData ClassificationRetention RulesRoles & AccountabilityData OwnersData StewardsControl DomainsData QualitySecurity & PrivacyMetadata & LineageCompliance & Audit

A data governance framework diagram lays out the hierarchy that keeps organizational data trustworthy and compliant. At the top sits a governance council, branching into policies and standards, roles such as data owners and stewards, and control domains covering data quality, security and privacy, metadata and lineage. Each branch breaks down into concrete responsibilities and controls applied to data assets.

Chief data officers, governance leads and compliance teams use this diagram to formalize accountability and meet regulations like GDPR. It is the clearest way to present a governance operating model, show how stewardship roles and policies cascade, and map which controls protect sensitive data across the organization.

Great for

  • Governance program kickoff
  • Compliance and audit reviews
  • Stewardship role definition
  • Executive data strategy decks
  • GDPR readiness documentation

Make your own version with AI

Prefer to start from your own content? Describe it in one sentence and Infogiph generates a data governance framework diagram you can edit and animate. For example:

“Data Governance Framework Diagram showing Policies & Standards, Data Classification, Retention Rules, Roles & Accountability, Data Owners and Data Stewards”

Try it in the AI diagram generator, or read Flow chart examples, including a data pipeline.

How to customize this template

  1. Open it in the canvas with Use this template.
  2. Add the cadence to each stage label, such as Orders sync (hourly) or Clickstream (real time), so freshness is visible at a glance.
  3. Give quality gates their own nodes, such as schema validation or row-count checks, instead of hiding them inside the transform step.
  4. Mark where personal data is masked or tokenized, and which zones still hold raw PII, so privacy reviewers know where access must be tight.
  5. Name an owner on every data product or mart. In a data mesh, ownership is the point of the diagram.
  6. Export a PNG or SVG for docs and slides, or a GIF or MP4 to keep the animation.

Frequently asked questions

What is a data governance framework?+

It is a structured set of policies, roles and controls that defines how an organization manages the availability, quality, security and compliance of its data assets.

What are the key roles in data governance?+

Typical roles include a governance council that sets direction, data owners accountable for domains, and data stewards who manage day-to-day quality, definitions and access for specific datasets.

What are the components of data governance?+

Core components are policies and standards, clear roles and accountability, and control domains covering data quality, security and privacy, metadata and lineage, and compliance and audit.

Why is data governance important?+

It ensures data is accurate, secure and compliant with regulations like GDPR, building trust in analytics and reducing risk from misuse or breaches.

Make it yours in seconds

Open the data governance framework diagram in the Infogiph canvas, then edit, animate, and export.

Use this template