Improving DM Work Efficiency : Role Architecture Design

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About Course

This course introduces a structured approach to designing and operationalizing Role Architecture for Data Management and AI capabilities.

Participants learn how organizational factors and capability requirements shape role design, how to define functional and virtual roles, and how to build capability-based role sets.

Practical exercises guide participants through positioning roles across organizational levels, assigning accountabilities using RACI, and validating the Role Architecture to identify gaps, overlaps, and ineffective handovers.

The result is a practical approach to improving accountability, coordination, and Data Management work efficiency.

What Will You Learn?

  • Assess factors influencing Role Architecture design.
  • Distinguish functional and virtual roles.
  • Define role sets for Data Management and AI capabilities.
  • Position roles across organizational levels.
  • Assign accountabilities using RACI.
  • Validate Role Architecture and identify required adjustments.

Course Content

Role Architecture Foundation
This topic establishes the foundation for designing Data Management and AI Role Architecture. It introduces the four-phase design approach and examines how organizational characteristics, target Data Architecture, and Data and AI Management integration influence role design. It also connects Data Management capabilities to their expected outcomes, processes, and outputs. These assessments provide the requirements for defining functional and virtual roles in the following topic.

  • Introducing the Design Approach
    05:10
  • Analyzing Impact Factors
    12:22
  • Conceptual Understanding
  • Analytical Thinking
  • Assessing Capability Requirements
    04:15

Role Architecture Design
This topic focuses on designing functional and virtual roles for Data Management and AI capabilities. It introduces role classification by composition, organizational structure, and professional background. It then examines how capability requirements determine functional role expertise and how virtual roles establish business ownership and usage accountabilities. Practical exercises support the identification and classification of roles within an organization's Role Architecture.

Capability-Based Role Set
This topic examines how functional and virtual roles contribute to nine Data Management and AI capabilities. For each capability, it connects expected outcomes, processes, outputs, and required expertise to the roles involved in delivery. It also demonstrates how centralized, decentralized, and hybrid Data Architecture approaches influence role responsibilities. Practical exercises use a common template to document role contributions, accountability assignments, and organizational levels for specific capability outputs.

Accountability Operationalization
This topic focuses on turning the designed Role Architecture into practical accountability arrangements. It examines how functional and virtual roles are positioned across strategic, tactical, and operational organizational levels. It then applies RACI to assign accountabilities for specific tasks, decisions, and capability outputs, including required handovers and escalations. The final stage validates the Role Architecture against completeness, skills, capacity, and practical usability requirements before implementation.

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