GFAI6: Developing the Governance Framework for Metadata Management

Effective metadata governance depends on a strong relationship between business strategy, data architecture, and organizational context. In this course, led by data management master instructor Irina Steenbeek, participants explore how metadata capabilities, policies, roles, and tools combine to support effective governance and measurable outcomes.

Metadata is the connective tissue that gives data meaning, trust, and usability across an organization. Without clear governance, metadata initiatives often become fragmented, limiting transparency, accountability, and the ability to scale analytics and AI. This course, led by data management expert Irina Steenbeek, examines how a well-designed metadata governance framework establishes clarity and responsibility across data and AI initiatives. 

The course presents a structured methodology for defining metadata management capabilities, deliverables, policies, processes, and role responsibilities. It addresses the design of metamodels, data catalogs, lineage, and supporting tools, alongside maturity assessment and KPI development to track progress and effectiveness. Through practical frameworks and examples, participants develop a governance approach suited to their organization’s architecture, business needs, and long-term objectives. 

Course Highlights 

  • A structured approach to designing a metadata governance framework. 
  • Core concepts across business, technical, and operational metadata. 
  • Definition of key metadata artifacts, policies, and standards. 
  • Alignment of deliverables with processes, roles, and RACI. 
  • Maturity assessment techniques and KPI development to measure effectiveness and progress. 

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: 

  • Design a metadata management capability map. 
  • Define metadata governance artifacts, inputs, policies, processes, and role responsibilities. 
  • Identify high-level tool requirements for metadata governance. 
  • Assess metadata maturity levels using a structured framework. 
  • Define KPIs to monitor metadata governance performance and outcomes. 

Why Take This Course? 

Strong metadata governance is critical for trusted, discoverable, and usable data. This course provides a practical framework for building metadata governance aligned with business and data strategy. 

Is This Course Right for You or Your Team? 

This course is ideal for: 

  • Data governance and data management professionals 
  • Data, analytics, and enterprise architects 
  • Data and analytics leaders 
  • Business and IT stakeholders supporting metadata initiatives 

No technical background is required. This course is designed for professionals focused on establishing clear, business-aligned metadata governance capabilities rather than implementing specific tools. 

This Course Includes: 

  • A 112-minute educational training video 
  • A 21-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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