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 skills28 of 33 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
85%
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
- 28
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.
01
Data governance
4 capabilities
Data quality and governance
Importance: Essential (5 of 5)
Makes data trustworthy, discoverable, traceable, and controlled.
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.
Course coverage
- AI Governance and Compliance
- Responsible AI
- Artificial Intelligence Fundamentals
- Explainable AI
- AI Strategy for Organizations (planned)
Regulatory compliance
Importance: Very important (4 of 5)
Translates legal and regulatory obligations into controls the organization can evidence.
Course coverage
- GDPR for Technology Teams
- Database Auditing and Compliance
- EU Digital Regulation for Technology Leaders (planned)
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.
Course coverage
- Data Engineering Fundamentals
- Data Lakes and Lakehouses
- Data Warehousing
- AI Strategy for Organizations, Data Strategy and Monetization (planned)
Analytics and BI strategy
Importance: Very important (4 of 5)
Decides how the organization measures itself and who gets to answer which questions.
Course coverage
- Business Intelligence FundamentalsFree
- Semantic Layer and Metrics Standardization
- Analytics EngineeringFree
- Data VisualizationFree
- Dimensional Modeling and Star Schema Design
- Data Literacy Programs (planned)
Board communication
Importance: Very important (4 of 5)
Explains technology bets, risk, and spend to boards and executives in terms they can act on.
Course coverage
- Executive Reporting and Dashboard Design
- Data Storytelling
- Stakeholder Mapping and Influence
- Technical Stakeholder Communication
- Board Communication for Technology Leaders (planned)
Learning path
Relevant courses
Core foundations
The concepts this role is built on.
- AI Governance and Compliance
- Business Intelligence FundamentalsFree
- Data Governance
- Data Lineage
- Data Quality
- Data Retention
- Executive Reporting and Dashboard Design
- GDPR for Technology Teams
- Master Data Management
- Privacy Engineering
- Responsible AI
- Semantic Layer and Metrics Standardization
- AI Strategy for Organizations, Board Communication for Technology Leaders, Data Literacy Programs, Data Strategy and Monetization (planned)
Supporting knowledge
Adjacent knowledge that improves day-to-day judgment.
- Analytics EngineeringFree
- Artificial Intelligence Fundamentals
- Data Archiving
- Data Engineering Fundamentals
- Data Lakes and Lakehouses
- Data Loss Prevention
- Data Modeling
- Data Storytelling
- Data Validation and Anomaly Detection
- Data VisualizationFree
- Data Warehousing
- Database Auditing and Compliance
- Explainable AI
- Stakeholder Mapping and Influence
- Technical Stakeholder Communication
- EU Digital Regulation for Technology Leaders (planned)
Specializations
Deeper paths for particular environments or directions.
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