Governance operating model
What does governance operating model cover in AI governance?
4 competencies are filed under it: AI governance operating model design, Governance metrics and program measurement, Data governance operating model and stewardship, Governed AI program and portfolio delivery. Each has its own page saying what it means in practice.
The competencies filed under it
- AI governance operating model design
Designs decision rights, committees, intake, approval tiers and escalation so routine uses move and consequential uses get reviewed.
Governance and Oversight
- Governance metrics and program measurement
Measures whether governance works: inventory coverage, owners named, overdue reviews, incidents, approval times, not how busy the committee is.
Governance and Oversight
- Data governance operating model and stewardship
Establishes ownership, stewardship, councils, decision rights and issue workflows so data has a named owner and a defined meaning.
Data and Privacy
- Governed AI program and portfolio delivery
Runs stage gates, intake, decision logs and evidence repositories so a pilot cannot reach production without the required approvals.
Business and Transformation
Roles that ask for it
- VP of AI Governance and Ethics3 of 4 competencies
- AI Governance Manager2 of 4 competencies
- Data Governance Lead2 of 4 competencies
- Chief Data Officer, data leadership edition2 of 4 competencies
- AI Governance Engineer1 of 4 competency
- AI Program Manager1 of 4 competency
- AI Security Architect1 of 4 competency
- Responsible AI Lead1 of 4 competency
- Chief AI Officer1 of 4 competency
- Chief Compliance Officer, AI compliance edition1 of 4 competency
- Chief Information Officer, technology leadership edition1 of 4 competency
- Chief Information Security Officer, AI security focus1 of 4 competency
- Chief Risk Officer, AI risk edition1 of 4 competency
Where it is taught and graded
65 graded topics, each passed by explaining it back. The first module of every program is free with a free account.
- Module 0: Taking the Data Chair (2)
- Module 1: The Estate Survey (1)
- Module 2: Quality as Physics (1)
- Module 3: Consent, Purpose, and the Law of Data (1)
- Module 4: Feeding the Machines (3)
- Module 7: The Catalog That Lives (2)
- Module 8: Lineage Under Audit (2)
- Module 9: The Money of Data (2)
- Module 10: The Humans of Data (4)
- Module 12: Adversarial Data Governance (3)
- Module 1: Own the AI Transformation Mandate (2)
- Module 3: Diagnose the Organization (2)
- Module 4: The Economics and the Business Case (1)
- Module 5: Workforce and Talent in the AI Era (1)
- Module 6: Process and Operations Redesign (1)
- Module 8: Governance and Responsible AI (1)
- Module 9: Risk, Resilience and Frontier AI (1)
- Module 10: Change Leadership and Politics (2)
- Module 11: Implementation from Pilot to Scale (2)
- Module 13: Measure, Sustain and Evolve (2)
- Module 15: Lab: Regulated Industries (1)
- Module 0: Taking Command (1)
- Module 6: The World's Rulebooks (2)
- Module 7: Agents Under Command (2)
- Module 9: The Humans: Leading People Through AI Change (1)
- Module 11: Adversarial Governance (3)
- Module 13: The Capstone: The Board Audit and Viva (1)
- Module 5: Critical Thinking and Context Engineering (1)
- Module 6: AI in the Workplace and Team Leadership (3)
- Module 8: Assessment and Continuous Learning (1)
- Module 10: AI Security Fundamentals (1)
- Module 11: Bonus: AI Leadership Accelerator (3)
- EU AI Act Implementation Expert6 topics
- Module 0: The EU AI Act Expert Role (1)
- Module 2: AI System Inventory and Classification (1)
- Module 3: High-Risk AI Requirements: The Technical File (1)
- Module 6: Governance, Sandboxes, and SME Support (1)
- Module 8: Post-Market Monitoring and Enforcement (1)
- Module 9: Capstone: The Compliance Portfolio (1)
- Module 1: Foundations of AI for Lobbyists (1)
- Module 18: Compliant Influence Architecture (1)
- Module 0: Taking the Controls (1)
Questions
- What does governance operating model cover in AI governance?
- 4 competencies are filed under it: AI governance operating model design, Governance metrics and program measurement, Data governance operating model and stewardship, Governed AI program and portfolio delivery. Each has its own page saying what it means in practice.
- Which roles ask for governance operating model?
- 13 roles on the map name at least one of its competencies, from analyst seats to executive ones. Each role page lists the depth expected.
- Where is governance operating model taught and graded?
- 65 graded topics teach it across 7 programs. Each topic is graded by explaining it back against its own transcript, so a pass is evidence, not attendance. The first module of every program is free with a free account.