Data governance programs
Importance: Essential (5 of 5)
Establishes ownership, policy, and decision rights over data across the organization.
Course coverage
← All career guides10 of 10 skills34 of 34 courses
Executive and leadership
Chief Data Officer
Owns how the organization governs, protects, and gets value from its data and AI, across every team that produces or consumes it.
Skill coverage
100%
Course coverage
100%
Skill coverage shows how much of the role's capability map already has a published course. Course coverage shows how much of the mapped course pipeline for this role has shipped.
- Role skills
- 10
- Published coverage
- 10
- Relevant courses
- 34
Capability map
Skills
Importance describes how central each capability is to the role. Course coverage shows where you can build the skill in the current OpenSkills catalog.
AI governance: 2 more courses
Data strategy: 2 more courses
Analytics and BI strategy: 3 more courses
Board communication: 2 more courses
Chief Data Officer capability map
- Chief Data Officer
- Data governance
- Privacy and AI governance
- Data value and leadership
01
Data governance
4 capabilities
Data quality and governance
Importance: Essential (5 of 5)
Makes data trustworthy, discoverable, traceable, and controlled.
Course coverage
Master data management
Importance: Very important (4 of 5)
Keeps core business entities consistent across the systems that disagree about them.
Course coverage
Data lifecycle and retention
Importance: Very important (4 of 5)
Decides how long data is kept, where it lives, and when it is archived or destroyed.
Course coverage
02
Privacy and AI governance
3 capabilities
Privacy and data protection
Importance: Essential (5 of 5)
Holds the organization to its obligations over personal data, end to end.
AI governance
Importance: Essential (5 of 5)
Sets the rules under which the organization builds, buys, and runs AI systems.
Regulatory compliance
Importance: Very important (4 of 5)
Translates legal and regulatory obligations into controls the organization can evidence.
03
Data value and leadership
3 capabilities
Data strategy
Importance: Essential (5 of 5)
Connects data investment to business outcomes instead of collecting data for its own sake.
Analytics and BI strategy
Importance: Very important (4 of 5)
Decides how the organization measures itself and who gets to answer which questions.
Board communication
Importance: Very important (4 of 5)
Explains technology bets, risk, and spend to boards and executives in terms they can act on.
Learning path
Relevant courses
Core foundations
The concepts this role is built on.
- AI Governance and ComplianceFree
- AI Strategy for Organizations
- Board Communication for Technology Leaders
- Business Intelligence FundamentalsFree
- Data Governance
- Data Lineage
- Data Literacy Programs
- Data QualityFree
- Data Retention
- Data Strategy and Monetization
- Executive Reporting and Dashboard DesignFree
- GDPR for Technology Teams
- Master Data Management
- Privacy Engineering
- Responsible AI
- Semantic Layer and Metrics Standardization
Supporting knowledge
Adjacent knowledge that improves day-to-day judgment.
- Analytics EngineeringFree
- Artificial Intelligence FundamentalsFree
- Data Archiving
- Data Catalog and Discovery
- Data Engineering FundamentalsFree
- Data Lakes and Lakehouses
- Data Loss Prevention
- Data ModelingFree
- Data Storytelling
- Data Validation and Anomaly Detection
- Data VisualizationFree
- Data Warehousing
- Database Auditing and Compliance
- EU Digital Regulation for Technology Leaders
- Explainable AI
- Stakeholder Mapping and Influence
- Technical Stakeholder CommunicationFree
Specializations
Deeper paths for particular environments or directions.
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