
Strong governance requires alignment across organizational structure, capabilities, and technology. In this course data management expert Irina Steenbeek guides participants in building a flexible enterprise-wide governance framework for data, metadata, and AI. The program explores key impact factors, operating models, and governance structures, including functional and virtual roles, self-managed groups, and oversight bodies, providing the foundation for sustainable governance across the organization.
Participants learn to define required processes, internal regulations, and IT tool requirements while developing business capability maps and assessing current maturity levels. The course includes methods to draft tailored governance frameworks, propose KPIs, and create strategic implementation roadmaps, equipping participants with practical tools to design and operationalize effective enterprise-wide data and AI governance.
Course Highlights
Pricing and Credits
By the End of This Course, You’ll Be Able To:
Why Take This Course?
This course equips participants with practical tools and methodologies to design and operationalize a flexible, enterprise-wide governance framework. It provides structured guidance for aligning governance with organizational strategy, capabilities, and technology.
Is This Course Right for You or Your Team?
This course is ideal for:
No technical experience is required. This course is designed for business-focused professionals seeking practical skills to design and implement enterprise-wide governance frameworks for data, metadata, and AI.
This Course Includes: