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
- Autonomous Systems Governance Lead, robotics and physical AI edition1 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
67 graded topics, each passed by explaining it back. The first module of every program is free with a free account.
- Module 0: Your First Week in Governance, Risk and Compliance (2)
- Module 1: Integrated Governance, Risk and Compliance and Enterprise Context (1)
- Module 2: Enterprise Governance, Strategy, and Decision Rights (2)
- Module 3: Ethics, Culture, Conduct, and Accountability (1)
- Module 7: Internal Control Architecture and Control Engineering (2)
- Module 9: Policy, Standards, Procedures, and Exceptions (1)
- Module 10: Privacy and Data Governance (4)
- Module 11: Cybersecurity Governance and Operational Resilience (3)
- Module 12: Third-Party, Supply-Chain, and Concentration Risk (1)
- Module 13: Project, Program, Change, and Transformation Risk (1)
- Module 17: AI Governance, AI Risk, AI Security, and AI Assurance (3)
- Module 19: Governance, Risk and Compliance Metrics, Analytics, and Board Communication (3)
- Module 20: Governance, Risk and Compliance Leadership and Operating Model Transformation (3)
- Module 0: Taking the Data Chair (1)
- Module 1: The Estate Survey (1)
- Module 2: Quality as Physics (3)
- Module 7: The Catalog That Lives (3)
- Module 9: The Money of Data (2)
- Module 12: Adversarial Data Governance (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 11: Implementation from Pilot to Scale (2)
- Module 14: Capstone: Your Transformation Blueprint (1)
- Module 16: Lab: Regional and Geopolitical AI (1)
- Module 0: Taking the Controls (2)
- Module 7: Rollout, Monitoring, and Incident Response (1)
- Module 9: End-User Responsibility (2)
- EU AI Act Implementation Expert5 topics
- Module 1: Act Foundations and Current Timeline (1)
- Module 2: AI System Inventory and Classification (1)
- Module 8: Post-Market Monitoring and Enforcement (1)
- Module 9: Capstone: The Compliance Portfolio (2)
- Module 5: Critical Thinking and Context Engineering (1)
- Module 10: AI Security Fundamentals (1)
- Module 11: Bonus: AI Leadership Accelerator (2)
- Module 3: Generative AI Compliance (1)
- Module 6: Ethics Review (1)
- Module 9: China, EU, US: The Comparative Playbook (1)
- Module 10: Capstone: Build a China Compliance Program (1)
- Module 2: Data Reality (1)
- Module 5: The EU AI Act: The Executive Map (1)
- Module 6: The World's Rulebooks (1)
- Module 14: Capstone: Build and Program a Simulated Mobile Robot (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?
- 14 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?
- 67 graded topics teach it across 9 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.