GFAI4: Developing an Enterprise-Wide Governance Framework

Building an effective enterprise-wide governance framework is essential for aligning data, metadata, and AI initiatives with organizational strategy and structure. This course, led by data management master instructor Irina Steenbeek, explores operating models, governance roles, policies, processes, and IT tool requirements, while providing participants with practical tools to assess maturity, establish KPIs, and develop a strategic roadmap for governance implementation.

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 

  • Comprehensive enterprise-wide governance framework covering data, metadata, and AI. 
  • Clear structures for operating models, governance roles, and oversight. 
  • Detailed business capability maps alongside internal process frameworks. 
  • Maturity assessments paired with KPIs to track progress and organizational impact. 
  • Alignment of IT tools and resources to support effective governance. 

Pricing and Credits 

  • Individual Course Price: $99 
  • Learning Plan Price: $749 
  • Course CEUs: 2.5 hours 

By the End of This Course, You’ll Be Able To: 

  • Define the organization’s profile, target data architecture, and operating model. 
  • Establish governance roles, responsibilities, and oversight bodies. 
  • Draft a tailored governance framework with processes, policies, and capability maps. 
  • Assess current maturity and propose KPIs to track implementation progress. 
  • Develop a high-level roadmap for enterprise-wide governance execution. 

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: 

  • Data and AI governance professionals 
  • Business leaders overseeing enterprise data strategy 
  • Risk and compliance managers responsible for governance alignment 
  • Professionals tasked with implementing or refining enterprise-wide frameworks 

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: 

  • A 199-minute educational training video 
  • A 22-question content-based practice exam 
  • “Check for Understanding” quizzes after each section 
  • Downloadable presentation slides , templates, and exercises
  • Self-paced, on-demand access with progress tracking 
  • Unlimited course access 
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