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DAT5988 Mastering ISO 42001 for Senior Data Governance Practitioners

$199.00
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What is the ISO 42001 for Senior Data Governance course about?

Produce a documented ISO 42001 AI governance framework aligned to your organization’s current state Map controls to business functions with executive-facing clarity Generate leadership-ready summaries that surface your work in strategic reviews Reference a hand-built implementation playbook tailored to financial services governance Position yourself as the go-to practitioner for AI governance within your institution.

What do you take away from the ISO 42001 for Senior Data Governance course?

Produce a documented ISO 42001 AI governance framework aligned to your organization’s current state Map controls to business functions with executive-facing clarity Generate leadership-ready summaries that surface your work in strategic reviews Reference a hand-built implementation playbook tailored to financial services governance Position yourself as the go-to practitioner for AI governance within your institution.

What's included with your purchase?

12 modules with 12 chapters each (144 chapters) Downloadable templates and worked examples for every module Hand-built implementation playbook delivered alongside course access 30-day money-back guarantee.

What does the ISO 42001 for Senior Data Governance cover on delivery and format?

Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access. Time investment: Approximately 4 hours per week over 6 weeks, designed for practitioners balancing day-to-day responsibilities.

How does this compare to the alternatives?

Unlike generic AI governance courses, this program is tailored to financial services practitioners with compliance backgrounds, focusing on tangible artefacts that drive visibility and recognition. No theory without application.

What does the ISO 42001 for Senior Data Governance cover on frequently asked?

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.

How is the ISO 42001 for Senior Data Governance delivered?

The ISO 42001 for Senior Data Governance is fully self-paced with immediate online access after enrolment. Access does not expire and future updates are included at no cost. A certificate of completion is issued by The Art of Service when you finish.

How much does the ISO 42001 for Senior Data Governance cost?

The ISO 42001 for Senior Data Governance is $199 as a one time payment. There is no subscription and no hidden fee. Enrolment carries a 30 day satisfied or refunded guarantee, so it can be assessed in full before you commit.

Closely related courses: Project Governance Decisions for Senior Practitioners, COBIT for Senior Governance Practitioners, Data Governance for Senior Engineering Practitioners, Digital Media Governance for Senior Practitioners.

More answers: what you get with every course, refund policy, all help answers.

A tailored course, built for your situation

Mastering ISO 42001 for Senior Data Governance Practitioners

Build recognized AI governance authority from your current role

$199 one-time
24-hour access provisioning 30-day money-back guarantee Hand-built implementation playbook
12 modules. 12 chapters per module. 144 chapters total.
12 modules, each with 12 chapters (144 chapters total), text-based, plus downloadable templates and a hand-built implementation playbook delivered alongside course access.
Invisible work in data governance means undervalued impact

Who this is for

Senior data governance professional in a regulated financial institution, ex-big4, focused on control frameworks and compliance maturity

Who this is not for

Entry-level analysts, tool implementers without governance context, or teams looking for turnkey software solutions

What you walk away with

  • Produce a documented ISO 42001 AI governance framework aligned to your organization’s current state
  • Map controls to business functions with executive-facing clarity
  • Generate leadership-ready summaries that surface your work in strategic reviews
  • Reference a hand-built implementation playbook tailored to financial services governance
  • Position yourself as the go-to practitioner for AI governance within your institution

The 12 modules (with all 144 chapters)

Module 1. Understanding ISO 42001 in Financial Services Context
Ground your work in the unique compliance and risk expectations of banking. Learn how ISO 42001 complements existing data governance frameworks without redundancy. Position AI governance as a natural evolution of your current role.
12 chapters in this module
  1. Scope of ISO 42001 in regulated financial institutions
  2. Alignment with existing data governance responsibilities
  3. Distinguishing AI governance from general IT controls
  4. Executive expectations for AI risk oversight
  5. Mapping ISO 42001 to financial services use cases
  6. Risk appetite and AI system classification
  7. Integrating with current control frameworks
  8. Leveraging past audit experience
  9. Documenting AI system inventories
  10. Establishing governance boundaries
  11. Engaging legal and compliance partners
  12. Setting realistic implementation milestones
Module 2. Establishing AI Governance Leadership
Define governance ownership and accountability structures. Learn how to position yourself as the internal authority. Build stakeholder alignment without formal authority.
12 chapters in this module
  1. Identifying AI governance champions
  2. Defining leadership roles and responsibilities
  3. Creating governance charters
  4. Securing executive sponsorship
  5. Communicating governance scope
  6. Establishing decision rights
  7. Managing cross-functional expectations
  8. Documenting governance autonomy
  9. Setting escalation paths
  10. Integrating with enterprise risk
  11. Building credibility with audit teams
  12. Maintaining independence with influence
Module 3. AI System Identification and Inventory
Build a comprehensive and defensible inventory of AI systems in use. Focus on traceability and business ownership. Create an asset that surfaces in leadership meetings.
12 chapters in this module
  1. Defining what constitutes an AI system
  2. Scoping system boundaries
  3. Engaging business unit input
  4. Documenting data flows
  5. Classifying system criticality
  6. Establishing ownership accountability
  7. Version tracking and lineage
  8. Integrating with change management
  9. Maintaining current inventories
  10. Reporting inventory completeness
  11. Linking to vendor management
  12. Updating for new deployments
Module 4. Risk Assessment and Control Mapping
Apply ISO 42001 controls to real systems. Translate high-level requirements into operational checks. Build maps that auditors and executives can follow.
12 chapters in this module
  1. Categorizing AI risks in finance
  2. Mapping controls to system types
  3. Documenting risk tolerances
  4. Linking controls to data sensitivity
  5. Assessing model interpretability needs
  6. Evaluating third-party model risk
  7. Integrating with SOX controls
  8. Creating control implementation logs
  9. Testing control effectiveness
  10. Reporting control gaps
  11. Updating for regulatory changes
  12. Aligning with NIST AI RMF
Module 5. Developing Governance Policies
Write clear, enforceable policies that reflect your institution's culture. Focus on usability and adoption. Create documents that get referenced, not filed.
12 chapters in this module
  1. Structuring policy for clarity
  2. Defining approval workflows
  3. Incorporating legal requirements
  4. Setting model validation standards
  5. Establishing data quality rules
  6. Documenting model monitoring
  7. Creating incident response plans
  8. Setting record retention periods
  9. Communicating policy changes
  10. Training on policy adherence
  11. Auditing policy compliance
  12. Updating for emerging threats
Module 6. Data Management for AI Systems
Ensure data practices meet ISO 42001 requirements. Focus on traceability, quality, and lifecycle management. Build defensible data governance for AI.
12 chapters in this module
  1. Data provenance tracking
  2. Data quality validation
  3. Bias assessment protocols
  4. Data lifecycle policies
  5. Labeling standards
  6. Data versioning
  7. Anonymization requirements
  8. Data sharing agreements
  9. Retention and disposal
  10. Audit trail maintenance
  11. Third-party data governance
  12. Data governance integration
Module 7. Model Development and Validation
Apply governance to model creation and testing. Focus on reproducibility and transparency. Create validation artefacts that stand up to scrutiny.
12 chapters in this module
  1. Model development oversight
  2. Documentation standards
  3. Validation process design
  4. Performance metric selection
  5. Bias testing methodology
  6. Robustness evaluation
  7. Model interpretability standards
  8. Version control for models
  9. Model card creation
  10. External validation needs
  11. Model drift monitoring
  12. Retraining triggers
Module 8. Operational Monitoring and Incident Management
Implement continuous oversight of AI systems. Build response plans that reduce downtime and reputational risk. Create systems that protect your institution.
12 chapters in this module
  1. Performance monitoring design
  2. Drift detection setup
  3. Anomaly alerts
  4. Incident escalation paths
  5. Root cause analysis
  6. Model revalidation triggers
  7. Human oversight protocols
  8. User feedback loops
  9. Reporting operational issues
  10. Maintaining monitoring logs
  11. Integrating with SOC teams
  12. Periodic review cycles
Module 9. Stakeholder Communication and Reporting
Create reports that get read by leaders. Focus on clarity, consistency, and strategic relevance. Make your work visible where decisions are made.
12 chapters in this module
  1. Designing executive dashboards
  2. Governance committee reporting
  3. Audit readiness preparation
  4. Regulatory disclosure content
  5. Internal communication plans
  6. Training material development
  7. Vendor oversight reporting
  8. Board-level summary creation
  9. Incident communication
  10. Stakeholder feedback collection
  11. Reporting frequency setting
  12. Metrics selection
Module 10. Third-Party AI Governance
Extend governance to vendors and partners. Focus on contractual terms and oversight. Reduce third-party risk while maintaining innovation.
12 chapters in this module
  1. Vendor selection criteria
  2. Contractual governance terms
  3. Due diligence process
  4. Oversight of external models
  5. Model validation requirements
  6. Data sharing agreements
  7. Incident response coordination
  8. Audit rights negotiation
  9. Performance monitoring
  10. Compliance verification
  11. Exit strategy planning
  12. Vendor performance reviews
Module 11. Continuous Improvement and Maturity
Build feedback loops into governance. Focus on incremental enhancement. Create a system that gets stronger over time.
12 chapters in this module
  1. Maturity model application
  2. Internal audit integration
  3. Lessons learned process
  4. Benchmarking against peers
  5. Regulatory change monitoring
  6. Technology trend assessment
  7. Stakeholder feedback analysis
  8. Policy update cycles
  9. Training program evolution
  10. Metrics refinement
  11. Governance automation
  12. Lessons documented
Module 12. Implementation and Long-Term Sustainability
Deploy governance in a way that lasts. Focus on adoption, documentation, and resilience. Leave with a playbook that survives leadership changes.
12 chapters in this module
  1. Change management planning
  2. Training program rollout
  3. Documentation standards
  4. Knowledge transfer
  5. Succession planning
  6. Budgeting for governance
  7. Tool selection criteria
  8. Process integration
  9. Performance measurement
  10. Scaling to new use cases
  11. Leadership transition planning
  12. Future-proofing governance

How this maps to your situation

  • Current state assessment
  • Leadership alignment
  • Operational implementation
  • Sustainability and evolution

Before vs. after

Before
Governance work remains operational and unseen, buried in compliance cycles without executive recognition
After
Your governance artefacts surface in leadership reviews, positioning you as the recognized authority on AI governance

What's included with your purchase

  • 12 modules with 12 chapters each (144 chapters)
  • Downloadable templates and worked examples for every module
  • Hand-built implementation playbook delivered alongside course access
  • 30-day money-back guarantee

Delivery and format

  • Course and learning environment access provisioned within 24 hours of purchase
  • Hand-built implementation playbook delivered alongside course access

Format: Text-based modules and chapters in the Art of Service learning environment, plus downloadable templates and worked examples for every chapter, plus the hand-built implementation playbook delivered alongside course access.

Time investment: Approximately 4 hours per week over 6 weeks, designed for practitioners balancing day-to-day responsibilities

If nothing changes
Continuing with invisible compliance work means missed opportunities for recognition and influence, even as AI governance becomes a strategic priority

How this compares to the alternatives

Unlike generic AI governance courses, this program is tailored to financial services practitioners with compliance backgrounds, focusing on tangible artefacts that drive visibility and recognition. No theory without application.

Frequently asked

Is this course suitable for someone in a financial institution?
Yes, it's designed for professionals like you, Data Governance Managers in regulated banks who need to elevate their impact.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
What if I'm not technical?
The course focuses on governance, not coding. It's built for compliance and risk professionals who need to oversee AI systems, not build them.
$199 one-time. Approximately 4 hours per week over 6 weeks, designed for practitioners balancing day-to-day responsibilities.

Within 24 hours your account in the learning environment is provisioned and the tailored implementation playbook is delivered alongside it.

30-day money-back guarantee· 144 chapters· Hand-built playbook included· Account access within 24 hours
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