AI initiatives move faster when roles are defined, understood, and consistently applied across the enterprise. This workshop helps teams map AI roles and responsibilities, align them to business needs and competencies, and design job structures that support hiring, development, and long-term adoption.
Leave with a ready-to-validate AI job family—role definitions, leveling, and deployment next steps.
Organizations often invest in AI, but struggle to build and maintain the workforce structure to support it.
- Role confusion slows execution: Overlapping responsibilities create delays, gaps in ownership, and inconsistent expectations.
- Hiring and growth lack a blueprint: Without clear competencies and levels, recruiting, performance, and development become subjective.
- Structures don’t stick: Even good definitions fade without leader alignment, HR integration, and an update cycle.
Without a durable job family, AI talent decisions become ad hoc—driving churn, misalignment, and delivery risk.
We guide your team through a practical process to define, validate, and sustain an AI job family that works in the real world.
- Role Inventory and Responsibility Map: Identify core AI roles and clarify what each role owns across delivery, governance, and enablement.
- Competency and Business Alignment: Define the capabilities each role requires and connect them to your business goals and operating model.
- Role Descriptions and Leveling: Draft role profiles, levels, and progression criteria that are clear, consistent, and usable in hiring and reviews.
- Leadership and HR Validation: Engage stakeholders to confirm fit, resolve overlaps, and align on how the structure will be adopted.
- Maintenance and Benchmarking Cadence: Establish an approach to iterate over time using feedback, outcomes, and external benchmarks.
- Mapping AI Roles and Responsibilities
- Aligning Roles to Competencies and Business Needs
- Drafting Role Descriptions, Career Paths, and Levels
- Validating and Deploying with Leaders and HR
- Maintaining Job Families Through Iteration and Benchmarking
- Establish a shared view of the AI roles your organization needs and what each role owns
- Define role competencies that connect directly to business priorities and delivery needs
- Produce draft role descriptions and a leveling model that supports hiring and development
- Align leaders and HR on validation criteria and a practical rollout approach
- Leave with a sustainment plan to keep the job family current as AI evolves
Who Should Attend:
Solution Essentials
Facilitated working session
Half-day
Intermediate
Slides and workshop templates, role inventory worksheet, competency framework canvas, leveling matrix, virtual whiteboard or in-room collaboration tools