A tailored course, built for your situation
Reference of choice on cross-functional COBIT discussions
Become the internal benchmark for data governance alignment across teams
$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.
Who this is for
Senior data practitioner in a global services firm, working at the intersection of analytics, compliance, and governance frameworks
Who this is not for
Entry-level analysts or practitioners focused solely on model development without governance exposure
What you walk away with
- Precise COBIT control mappings tied directly to data science deliverables
- Trusted reference status during internal control reviews
- Ability to anticipate and shape governance asks before they come in
- Recognition as the go-to practitioner for data-related COBIT interpretations
- Inclusion in upstream design conversations with compliance and audit teams
The 12 modules (with all 144 chapters)
Module 1. Mapping data workflows to COBIT performance domains
Learn how to align data science pipelines with COBIT's governance structure using real the firm-style engagement examples. Each chapter walks through a different phase of model development and its corresponding COBIT domain mapping.
12 chapters in this module
- Identifying governance touchpoints in data ingestion
- Linking model training to APO01
- Version control alignment with DSS02
- Feature engineering and EDM03 mapping
- Model validation against MEA02
- Pipeline logging for DSS05 compliance
- Scalability decisions under BAI09
- Security controls in model serving layers
- Access governance for training datasets
- Bias audit trails in model documentation
- Mapping MLOps tools to COBIT practices
- Documenting model drift monitoring
Module 2. Building repeatable control evidence for audits
Turn routine data science work into auditable artefacts by embedding COBIT-aligned documentation at each stage. Covers naming conventions, versioning, and retention aligned to compliance expectations.
12 chapters in this module
- Automated run logs as MEA01 evidence
- Standardizing model card formats
- Versioning schema for reproducibility
- Metadata tagging for DSS06
- Retention schedules for model artifacts
- Provenance tracking in feature stores
- Audit-ready model registry entries
- Naming conventions for compliance
- Timestamping inference endpoints
- Exporting lineage for external reviewers
- Integrating with existing document control
- Generating summary evidence packets
Module 3. Anticipating cross-functional governance asks
Develop foresight into compliance and risk team needs by learning the patterns of common requests. Turn reactive inquiries into proactive deliverables.
12 chapters in this module
- Predicting data lineage requests
- Pre-building model risk summaries
- Upstreaming audit requirements
- Translating legal holds into data actions
- Aligning refresh cycles with reporting
- Mapping model updates to change control
- Identifying high-risk models early
- Routing sensitive models for review
- Flagging third-party dependencies
- Documenting model assumptions
- Preparing exception narratives
- Escalating framework misalignments
Module 4. Leading technical responses to control gaps
Gain confidence in responding to control findings with technically sound and policy-aligned solutions. Learn how to own the remediation conversation.
12 chapters in this module
- Classifying finding severity levels
- Prioritizing technical fixes
- Drafting compensating controls
- Documenting temporary workarounds
- Testing alternative architectures
- Calculating exposure windows
- Estimating remediation effort
- Bundling fixes across models
- Coordinating with legal teams
- Responding to external auditors
- Leveraging automation to close gaps
- Reporting completion with proof
Module 5. Shaping governance language in data projects
Move from executing to influencing by contributing to framework interpretations within data initiatives. Learn how to co-author governance clauses.
12 chapters in this module
- Proposing control language edits
- Defining scope boundaries
- Negotiating testing thresholds
- Setting acceptable drift ranges
- Documenting risk acceptance
- Writing exemption justifications
- Aligning KPIs with controls
- Translating technical limits to policy
- Escalating unworkable requirements
- Incorporating feedback loops
- Versioning governance terms
- Archiving superseded policies
Module 6. Creating cross-domain reference artefacts
Develop templates and examples that become the standard for others. Establish authority through consistency and usability.
12 chapters in this module
- Designing model documentation templates
- Building reusable control mappings
- Creating example audit responses
- Developing stakeholder summaries
- Standardizing risk rating formats
- Assembling reference libraries
- Publishing internal guides
- Maintaining versioned examples
- Indexing by use case
- Tagging for searchability
- Sharing via internal portals
- Updating for framework changes
Module 7. Facilitating control readiness in MLOps
Integrate COBIT expectations into CI/CD pipelines and deployment workflows. Ensure every release meets governance standards by default.
12 chapters in this module
- Pre-deployment checklists
- Automated policy enforcement
- Gate approval design
- Role-based access in CI/CD
- Embedding documentation steps
- Enforcing model signing
- Logging deployment events
- Tracking configuration drift
- Validating rollback procedures
- Auditing change windows
- Scheduling compliance checks
- Integrating with ticketing systems
Module 8. Communicating compliance impact to technical peers
Bridge governance requirements with engineering priorities using data-native language and examples.
12 chapters in this module
- Translating controls into code impact
- Estimating rework effort
- Highlighting technical debt triggers
- Prioritizing security fixes
- Explaining audit risk levels
- Linking findings to SLAs
- Demonstrating remediation ROI
- Creating peer-friendly summaries
- Running compliance workshops
- Answering pushback with data
- Documenting trade-off decisions
- Measuring compliance efficiency
Module 9. Contributing to enterprise risk assessments
Prepare and present data-specific risk inputs for firm-wide assessments. Learn how to quantify model-related exposures.
12 chapters in this module
- Identifying model failure modes
- Estimating financial impact
- Assessing reputational risk
- Quantifying data leakage risk
- Scoring model dependency chains
- Rating third-party model risk
- Documenting escalation paths
- Building risk heatmaps
- Presenting to enterprise teams
- Updating assessments quarterly
- Aligning with internal audit
- Benchmarking against peers
Module 10. Leading internal training on data governance
Develop the materials and confidence to train others on COBIT-based expectations in data science work.
12 chapters in this module
- Designing role-specific sessions
- Creating hands-on labs
- Developing assessment quizzes
- Running pilot workshops
- Gathering attendee feedback
- Measuring knowledge gain
- Updating content regularly
- Certifying team members
- Linking training to audits
- Tracking completion rates
- Scaling via LMS platforms
- Maintaining trainer credentials
Module 11. Optimizing documentation for review efficiency
Reduce time spent responding to inquiries by structuring documentation for fast comprehension and reuse.
12 chapters in this module
- Standardizing table of contents
- Using consistent terminology
- Adding executive summaries
- Creating navigation aids
- Highlighting key decisions
- Indexing by control domain
- Summarizing changes
- Version comparison guides
- Including visual overviews
- Linking to source systems
- Reducing redundancy
- Enabling search across docs
Module 12. Sustaining governance practices beyond leadership changes
Ensure continuity by institutionalizing knowledge and reducing reliance on individual contributors.
12 chapters in this module
- Documenting decision rationales
- Creating onboarding packs
- Building tribal knowledge maps
- Identifying knowledge owners
- Scheduling knowledge transfers
- Recording walkthroughs
- Archiving legacy decisions
- Updating playbooks annually
- Assigning maintenance roles
- Tracking framework updates
- Aligning with talent development
- Measuring team readiness
How this maps to your situation
- During internal audit prep
- When joining a new client engagement
- Before model deployment cycles
- After framework updates or new regulations
Before vs. after
Before
Responding to governance requests with fragmented documentation and inconsistent mappings
After
Proactively shaping compliance expectations with standardized, reusable artefacts and recognized authority
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 3 hours per module, with flexibility to progress at your own pace.
How this compares to the alternatives
Unlike generic COBIT training, this course is tailored to data science practitioners, focusing on real-world application of controls within analytics workflows rather than theoretical framework overview.
Frequently asked
Is this course relevant for someone in a consulting role?
Yes. The content is designed for practitioners like yourself who bridge technical delivery and governance expectations in client environments.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Does this cover other frameworks like ISO 27001 or SOC 2?
The focus is COBIT, but overlaps with other frameworks are addressed where relevant to data science governance.
$199 one-time. Approximately 3 hours per module, with flexibility to progress at your own pace..
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