Data governance operating model template
Data governance operating model template for defining the mandate, domains, decision rights, stewardship roles, forums, rollout plan, measures and periodic review.
What the data governance operating model process is
An operating model explains how governance works before the first difficult issue arrives. This template begins with the outcomes and boundaries the sponsor expects, then identifies priority domains and accountable owners. It maps stewardship work beneath those accountabilities, exposes ownership gaps or overlaps, and defines which decisions stay in a domain, which escalate, and what evidence each forum needs. Test scenarios check whether a request can actually find an owner and reach a decision before the design is rolled out. Catalog, quality and lineage controls are aligned as supporting mechanisms rather than treated as the model itself.
This is an organizational design and rollout process, not the workflow for resolving one governance case. The data governance process at /templates/data-governance-process uses the resulting roles, authority and forums to carry an issue from intake through decision and closure. Likewise, /templates/data-quality-management-process, /templates/master-data-management-process and /templates/data-catalog-process are operating processes that should have clear homes inside the model without being copied into its forum calendar. A pilot tests role capacity and decision clarity in selected domains; periodic review then uses real decisions, measures and workload to refine the model instead of preserving a structure that only works on paper.
What this flowchart covers
In this template
- Executive mandate, intended outcomes, scope principles and selection of priority data domains
- Accountable domain ownership, stewardship responsibilities and resolution of gaps or overlapping authority
- Decision rights, escalation levels, forum purpose, cadence, quorum, intake evidence and decision records
- Alignment with catalog, data quality and lineage controls, followed by playbooks, measures and a domain pilot
- Rollout approval, role and forum publication, capacity review and a route back to redesign when the model needs to change
When to use this template
- Governance depends on a central team but domain leaders and stewards do not know what they own or may decide
- Multiple councils discuss data while requests move between them without a clear decision path or escalation threshold
- An organization is launching governance across new domains and wants to pilot ownership, forums and supporting controls before broad rollout
- An existing model has accumulated slow decisions, overloaded roles or overlapping forums and needs a structured periodic review
How it works
Write the mandate in operational terms
Describe the decisions and outcomes the model must improve, the domains initially in scope and the resources available. Avoid a broad mission statement that cannot be tested through actual ownership, timing or decision scenarios.
Map domains before naming forums
Identify coherent areas of accountability, their shared data and cross-domain dependencies. Assign accountable roles only after boundaries are visible, then resolve gaps and overlaps before adding committees around them.
Design decision rights and evidence
List recurring decision types, delegated authority, escalation triggers and required inputs. For each forum, state its purpose, cadence, quorum, outputs and record owner so attendance is not mistaken for accountability.
Pilot with representative cases
Choose domains and scenarios that test both routine and contested decisions. Measure whether requests find the correct owner, whether evidence is sufficient, how long decisions take and whether role workload is sustainable.
Set the review cycle
Review decision quality, elapsed time, escalations, unfilled roles, forum duplication and adoption on an agreed cadence. Send structural changes back through the decision-rights design rather than making isolated exceptions.
Frequently asked questions
What is included in a data governance operating model?
A usable model includes a mandate and scope, data domains, accountable owners, stewardship responsibilities, decision types, delegated authority, escalation routes, forums, required evidence, decision records, supporting controls, enablement, measures and a periodic review mechanism.
How is an operating model different from a data governance process?
The operating model establishes the standing system: who owns domains, who may decide, when matters escalate and how forums run. The governance process applies that system to one issue or request and follows it through decision, implementation and closure.
Does every data domain need its own governance council?
Not necessarily. A domain needs clear accountability and a workable decision route, but routine decisions may sit with the data owner and steward. Shared forums can handle cross-domain trade-offs if their remit, quorum and escalation thresholds are explicit.
How should a governance operating model be reviewed?
Use evidence from real work: unresolved ownership, decision time, rework, escalations, attendance, role capacity and whether approved actions were adopted. Review the evidence with sponsors and domain roles, then revise boundaries, authority, support or forums where the pattern warrants it.
Where this process fits
In most operations this process hands off to Data governance process flowchart (issue to closure).
It is one step in Data governance.
Step 1: Data governance operating model template You are here
Data governance operating model template for defining the mandate, domains, decision rights, stewardship roles, forums, rollout plan, measures and periodic review.
Step 2: Data governance process flowchart (issue to closure)
Data governance process template for scoping issues, assigning ownership, assessing cross-domain impact, recording decisions, implementing actions and closing with evidence.
Step 3: Data catalog process flowchart (register to certify)