A tailored course, built for your situation
Advanced Data Leadership and Governance Implementation
A 12-module implementation-grade course for business and technology leaders advancing data governance at scale
$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 governance initiatives often stall after initial design due to misalignment between business priorities and technical execution.
The situation this course is for
Teams invest heavily in data governance frameworks, only to see adoption lag because policies aren’t operationalized, stakeholders aren’t aligned, or success metrics don’t reflect business outcomes. The gap isn’t vision, it’s implementation.
Who this is for
Business and technology professionals leading or contributing to data governance who have foundational knowledge and are now tasked with execution, adoption, and measurable impact.
Who this is not for
This course is not for those seeking introductory definitions or high-level overviews of data governance. It assumes familiarity with core concepts and focuses exclusively on implementation.
What you walk away with
- Design a stakeholder-aligned data governance operating model
- Translate policy into automated, enforceable data controls
- Integrate governance into product and engineering workflows
- Define and track KPIs that demonstrate business value
- Build and deploy a tailored implementation playbook
The 12 modules (with all 144 chapters)
Module 1. From Vision to Operating Model
Establish the governance structure that aligns business and technology teams
12 chapters in this module
- Defining governance scope and boundaries
- Mapping decision rights across functions
- Designing cross-functional leadership councils
- Staffing roles: CDO, data stewards, domain owners
- Creating governance charters and mandates
- Aligning with enterprise architecture
- Setting cadence for governance meetings
- Onboarding teams to governance processes
- Managing escalation paths
- Integrating with change management
- Documenting governance workflows
- Iterating the operating model
Module 2. Policy Design and Lifecycle Management
Develop actionable, maintainable data policies
12 chapters in this module
- Principles of effective policy writing
- Classifying data by sensitivity and use
- Setting policy ownership and review cycles
- Version control for policy documents
- Policy communication strategies
- Creating policy exception frameworks
- Linking policies to standards and controls
- Embedding policy in onboarding materials
- Auditing policy awareness
- Updating policies based on feedback
- Sunsetting outdated policies
- Measuring policy effectiveness
Module 3. Data Governance in Agile Delivery
Embed governance into product and engineering sprints
12 chapters in this module
- Introducing governance into backlog refinement
- Defining data acceptance criteria
- Including data stewards in sprint planning
- Creating governance user stories
- Tracking data debt alongside technical debt
- Using Definition of Done to enforce standards
- Automating governance checks in CI/CD
- Running data-focused sprint reviews
- Scaling governance across multiple teams
- Managing dependencies with platform teams
- Reporting governance metrics in sprint reports
- Adapting governance for SAFe and LeSS
Module 4. Automating Data Controls
Turn policy into code with automated enforcement
12 chapters in this module
- Mapping policies to technical controls
- Classifying control types: preventive, detective, corrective
- Using schema validation as a governance tool
- Implementing data tagging at ingestion
- Automating PII detection and classification
- Enforcing access policies via IAM integration
- Validating data quality rules in pipelines
- Logging and alerting on policy violations
- Building self-service policy dashboards
- Orchestrating remediation workflows
- Versioning control configurations
- Auditing control effectiveness
Module 5. Stakeholder Alignment and Influence
Build buy-in across business, legal, and technical teams
12 chapters in this module
- Identifying key governance stakeholders
- Conducting stakeholder impact assessments
- Tailoring messaging by audience
- Running governance awareness workshops
- Creating business case templates
- Demonstrating ROI of governance activities
- Handling common objections
- Leveraging champions and ambassadors
- Co-designing solutions with business units
- Managing resistance to change
- Celebrating governance wins
- Sustaining engagement over time
Module 6. Metrics That Matter
Define and track KPIs that reflect real impact
12 chapters in this module
- Distinguishing activity metrics from outcome metrics
- Tracking data quality improvement trends
- Measuring policy compliance rates
- Assessing reduction in data incidents
- Calculating time-to-insight improvements
- Quantifying risk reduction
- Benchmarking against industry standards
- Reporting to executive leadership
- Creating governance scorecards
- Using metrics to prioritize initiatives
- Linking KPIs to team incentives
- Visualizing governance maturity
Module 7. Data Catalogs and Discovery
Operationalize data discovery and metadata management
12 chapters in this module
- Selecting catalog tools based on use cases
- Automating metadata ingestion
- Defining ownership and stewardship in the catalog
- Enriching metadata with business context
- Implementing search and recommendation features
- Linking datasets to policies and workflows
- Integrating with BI and analytics platforms
- Enabling self-service data requests
- Tracking data lineage across systems
- Managing deprecation notices
- Securing access to the catalog
- Measuring catalog adoption rates
Module 8. Cross-System Data Governance
Extend governance across cloud, on-premise, and hybrid environments
12 chapters in this module
- Mapping data flows across systems
- Standardizing identifiers and naming conventions
- Enforcing consistency in data definitions
- Governance for data lakes and data warehouses
- Managing APIs as governance touchpoints
- Integrating legacy systems into governance
- Handling third-party data sharing
- Ensuring consistency in multi-cloud setups
- Governance for real-time data streams
- Synchronizing metadata across platforms
- Auditing cross-system compliance
- Designing exit strategies for decommissioned systems
Module 9. Privacy and Regulatory Integration
Align governance with evolving compliance requirements
12 chapters in this module
- Mapping regulations to data practices
- Implementing data subject rights workflows
- Conducting DPIAs within governance
- Managing consent records
- Handling cross-border data transfers
- Aligning with GDPR, CCPA, and other frameworks
- Integrating with legal and compliance teams
- Auditing for regulatory readiness
- Documenting data processing activities
- Responding to regulator inquiries
- Updating practices after regulatory changes
- Training teams on compliance obligations
Module 10. Data Quality at Scale
Operationalize data quality as a shared responsibility
12 chapters in this module
- Defining dimensions of data quality
- Setting quality thresholds by use case
- Assigning ownership for data quality
- Embedding checks in ingestion pipelines
- Monitoring quality in production systems
- Creating feedback loops from consumers
- Prioritizing quality improvements
- Using profiling to detect anomalies
- Reporting quality dashboards
- Linking quality to business outcomes
- Reducing rework due to poor quality
- Scaling quality practices across domains
Module 11. Change Management for Data Initiatives
Lead organizational change around data governance
12 chapters in this module
- Assessing organizational readiness
- Developing change communication plans
- Training teams on new processes
- Creating support resources and playbooks
- Managing role transitions
- Addressing skill gaps
- Running pilot programs
- Gathering feedback during rollout
- Scaling successful pilots
- Sustaining changes over time
- Measuring change adoption
- Celebrating milestones
Module 12. Building Your Implementation Playbook
Create a customized, actionable roadmap
12 chapters in this module
- Assessing current governance maturity
- Identifying high-impact starting points
- Prioritizing initiatives by effort and impact
- Defining success criteria for each initiative
- Sequencing activities across quarters
- Allocating resources and budget
- Engaging executive sponsors
- Establishing cross-functional teams
- Setting up monitoring and review cycles
- Anticipating and mitigating risks
- Documenting decisions and rationale
- Updating the playbook iteratively
How this maps to your situation
- You're leading a data governance initiative but struggling to gain traction across teams
- You've defined policies but they're not being consistently applied
- You need to demonstrate measurable impact to secure ongoing support
- You're scaling data systems and need governance that keeps pace
Before vs. after
Before
Governance feels like a compliance burden, policies live in documents, and teams work around the edges.
After
Governance is embedded in workflows, policies are automated, and data enables faster, safer decisions.
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 45-60 minutes per module, designed for integration into regular work cycles.
If nothing changes
Without structured implementation, even the best governance frameworks remain theoretical, missing opportunities to reduce risk, improve quality, and unlock value from data.
How this compares to the alternatives
Unlike generic certification prep or academic courses, this program delivers actionable implementation patterns used in real organizations, with templates and a personalized playbook to accelerate results.
Frequently asked
Who is this course for?
Business and technology professionals who understand data governance fundamentals and are now responsible for execution and adoption across teams.
How is the course structured?
12 modules, each containing 12 chapters (144 chapters total).
Is there a certificate upon completion?
Yes, a certificate of completion is awarded after finishing all modules and submitting the final implementation plan.
$199 one-time. Approximately 45-60 minutes per module, designed for integration into regular work 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