A tailored course, built for your situation
Advanced Data Governance for Business IT Leaders
Lead with confidence in data integrity, compliance, and cross-functional alignment
$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.
Data initiatives stall without clear ownership, traceability, and stakeholder alignment, even in mature organizations.
The situation this course is for
As data becomes central to decision-making, IT leaders face pressure to deliver reliable, auditable, and compliant systems. Without formal governance, projects face rework, compliance gaps, and misalignment between technical teams and business units. The ambiguity around data ownership and lifecycle management slows delivery and undermines trust.
Who this is for
Senior IT and project leaders in regulated environments who lead data & analytics delivery but lack formal governance frameworks.
Who this is not for
Junior analysts, pure software developers, or data scientists without delivery ownership or cross-functional influence.
What you walk away with
- Implement a structured data governance framework aligned with enterprise IT standards
- Document data lineage and ownership with precision
- Align technical delivery with compliance and audit requirements
- Lead stakeholder workshops to define governance policies
- Reduce rework and increase trust in data-driven project outcomes
The 12 modules (with all 144 chapters)
Module 1. Foundations of Data Governance
Establish core principles of data governance in regulated environments, including roles, responsibilities, and alignment with IT strategy.
12 chapters in this module
- Defining data governance
- Governance vs data management
- Key stakeholder roles
- Regulatory drivers
- Data lifecycle stages
- Ownership models
- Accountability frameworks
- Integration with ITIL
- Linking to project delivery
- Metrics for success
- Common governance failures
- Case study: Financial services
Module 2. Stakeholder Alignment
Map and engage stakeholders across business, compliance, and technical teams to build consensus on governance policies.
12 chapters in this module
- Identifying key stakeholders
- Assessing influence and interest
- Governance communication plan
- Workshop facilitation
- Conflict resolution
- Building trust
- Executive sponsorship
- Feedback loops
- Role clarity
- Escalation paths
- Governance committee setup
- Case study: Public sector
Module 3. Data Ownership Models
Design and implement ownership frameworks that clarify accountability across systems, domains, and teams.
12 chapters in this module
- Solving data silos
- RACI for data assets
- Business vs technical owners
- Shared ownership risks
- Documentation standards
- Change triggers
- Handover protocols
- Audit readiness
- Role validation
- Escalation workflows
- Ownership tooling
- Case study: Global rollout
Module 4. Data Lineage and Traceability
Ensure data can be traced from source to insight, supporting compliance, debugging, and trust.
12 chapters in this module
- Mapping data flows
- Visual lineage tools
- Source-to-report tracing
- Metadata standards
- Automated tracking
- Manual validation
- Version control
- Change impact analysis
- Lineage in audits
- Integration with BI
- Documentation templates
- Case study: Audit response
Module 5. Policy Development
Create enforceable, clear data policies that balance flexibility with compliance and security.
12 chapters in this module
- Policy lifecycle
- Writing clear rules
- Compliance alignment
- Stakeholder review
- Version control
- Policy enforcement
- Exceptions process
- Training rollout
- Monitoring adherence
- Policy review cycles
- Integration with risk
- Case study: Policy update
Module 6. Compliance Integration
Embed governance into compliance workflows, ensuring alignment with internal and external audit requirements.
12 chapters in this module
- Mapping to standards
- Audit evidence collection
- Control documentation
- Risk register linkage
- Compliance dashboards
- Internal audit prep
- External auditor needs
- Evidence retention
- Control testing
- Gap remediation
- Compliance reporting
- Case study: Audit success
Module 7. Data Quality Management
Define, measure, and improve data quality across systems with structured frameworks.
12 chapters in this module
- Defining quality dimensions
- Accuracy vs completeness
- Freshness standards
- Error detection
- Data profiling
- Quality dashboards
- Root cause analysis
- Issue tracking
- Service level agreements
- Automated alerts
- Quality reporting
- Case study: Data cleanup
Module 8. Metadata Strategy
Design and maintain metadata systems that support searchability, compliance, and reuse.
12 chapters in this module
- Metadata types
- Business glossary setup
- Technical metadata
- Automated harvesting
- Manual entry
- Ownership rules
- Search optimization
- Integration with tools
- Change management
- Version history
- Access control
- Case study: Discovery
Module 9. Change Management
Lead organizational change around governance adoption with communication, training, and support.
12 chapters in this module
- Assessing readiness
- Communication plan
- Training design
- Pilot groups
- Feedback collection
- Adoption metrics
- Resistance handling
- Leadership messaging
- Sustainment plan
- Celebrating wins
- Scaling rollout
- Case study: Culture shift
Module 10. Tooling and Automation
Evaluate and implement tools that support governance workflows, documentation, and monitoring.
12 chapters in this module
- Tool selection criteria
- Lineage tools
- Metadata repositories
- Policy management
- Workflow automation
- Integration patterns
- Vendor evaluation
- Open source options
- Custom builds
- ROI analysis
- Pilot testing
- Case study: Tool rollout
Module 11. Risk and Control Frameworks
Integrate governance into enterprise risk and control structures for board-level alignment.
12 chapters in this module
- Risk identification
- Control mapping
- Ownership linkage
- Reporting to board
- Key risk indicators
- Control testing
- Remediation workflows
- Third-party risks
- Incident response
- Insurance alignment
- Regulatory updates
- Case study: Risk audit
Module 12. Scaling Governance
Expand governance from pilot programs to enterprise-wide adoption with sustainable models.
12 chapters in this module
- Phased rollout
- Center of excellence
- Governance maturity
- Funding models
- Team structure
- KPIs and metrics
- Continuous improvement
- External benchmarking
- Lessons learned
- Scaling challenges
- Future trends
- Case study: Enterprise scale
How this maps to your situation
- Leading a data governance initiative
- Responding to audit findings
- Scaling analytics across teams
- Reducing data rework and errors
Before vs. after
Before
Data decisions are reactive, ownership is unclear, and compliance is a scramble.
After
Governance is proactive, roles are defined, and compliance is embedded in delivery.
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, designed for integration into active project cycles.
If nothing changes
Without structured governance, data projects remain vulnerable to audit failure, rework, and erosion of stakeholder trust, limiting strategic impact.
How this compares to the alternatives
Unlike generic compliance courses, this program is tailored to IT delivery leaders, combining governance rigor with practical implementation in data & analytics environments.
Frequently asked
Is this course technical or strategic?
It balances both, strategic frameworks with technical implementation guidance for real-world delivery.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Will this help with audit preparation?
Yes, each module includes templates and examples for audit evidence and control documentation.
$199 one-time. Approximately 3 hours per module, designed for integration into active project cycles..
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