Governance operating model
The one-page artifact that makes a stewardship register enforceable: a decision-rights matrix (who decides, who is consulted, who implements, for each recurring decision type), the escalation path a disagreement follows to a named executive seat, and the meeting cadence with each group's standing question. Employers ask for this page by name; sized to the organization, it can be two rows for a small company or a full matrix for a bank.
Defined in 2 GAGE programs, which carry 2 distinct definitions of it. The wording above is taught in Certified AI Data Governance Professional (CADGP).
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
The one-page artifact that makes a stewardship register enforceable: a decision-rights matrix (who decides, who is consulted, who implements, for each recurring decision type), the escalation path a disagreement follows to a named executive seat, and the meeting cadence with each group's standing question. Employers ask for this page by name; sized to the organization, it can be two rows for a small company or a full matrix for a bank.
The concrete machinery (layers, decision rights, risk tiers, monitoring, incident response, and the enabling half) by which an organization governs its AI, as distinct from the policy that states its intentions.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Stewardship that survives reorgs: roles attached to data, not to people who leave · The Catalog That Lives, Certified AI Data Governance Professional (CADGP)
- The Governance Operating Model, Speed and Control · Governance and Responsible AI, Certified AI Transformation Professional (CATP)
Where it shows up at work
A definition is where Governance operating model starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.
Designs decision rights, committees, intake, approval tiers and escalation so routine uses move and consequential uses get reviewed.
One lesson on this page teach it as a primary outcome.
Establishes ownership, stewardship, councils, decision rights and issue workflows so data has a named owner and a defined meaning.
One lesson on this page teach it as a primary outcome.
Roles that hire for it
Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.
- Chief Data Officer, data leadership editionneeds it at depth
- Chief AI Officerneeds it at depth
- Chief Compliance Officer, AI compliance editionneeds it at depth
- VP of AI Governance and Ethicsneeds it at depth
- Autonomous Systems Governance Lead, robotics and physical AI editionneeds it at depth
- AI Governance Managerneeds it at depth
How job descriptions say it
Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.
Where the frameworks place it: NIST AI RMF GOVERN; ISO/IEC 42001 Clause 5; DAMA-DMBOK; ISO/IEC 42001 data controls.
One interview question about it
Sketch the governance operating model you would set up for a company deploying its first customer-facing AI. Who decides, who reviews, and who can stop it?
Asked of candidates for ai governance operating model design. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.
If you come from another field
Some backgrounds already carry this competency, and the readiness check gives credit for it.
- Data analysis, stewardship and business intelligence carries it as a claim to back up: Stewardship and glossary ownership are usually in the role.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.