Role Description
Role: Capability Development Lead – Functional Skills Development
Reporting Line
Reports to:
SVP – Head of Consulting
Role Purpose
The Capability Development Lead – Functional Skills Development is responsible for
building, scaling, and embedding functional capability across the organization, with a
primary focus on AI‑
driven skill adoption and transformation.
The Role Exists To Ensure That
- Employees are able to leverage AI effectively in real work
- Functional productivity and quality improve measurably
- AI and non‑AI functional skills are embedded into daily workflows
- Learning translates into adoption, usage, and business outcomes
This role is
deeply AI‑
obsessed, outcome‑driven, and consulting‑led.
Scope of Responsibility
The role covers
functional skills across the enterprise, broadly bifurcated into:
AI‑
Led Functional Capability (Primary Focus)- AI usage, adoption, and integration into role‑specific workflows
- Practical application of AI to improve:
- Decision‑making
- Productivity
- Driving AI confidence and maturity across roles and levels
Non‑
AI Functional Capability (Secondary Focus)
- Core productivity and functional skills required for business effectiveness
- Tools, processes, and ways of working that are non‑negotiable for performance
- Ensuring strong foundational functional capability across the workforce
Core Responsibilities
- AI Capability Strategy & Adoption
- Design and own the functional AI capability roadmap for the organization.
- Translate AI enablement into role‑based, workflow‑linked skills, not theoretical learning.
- Drive AI adoption, not just awareness or training completion.
- Continuously identify where AI can create tangible business value within functions.
- Consulting with the Business
- Partner with business leaders, functional heads, and teams to:
- Understand functional challenges
- Identify AI and functional skill gaps
- Recommend capability‑based solutions
- Operate as a consultant, not a trainer or coordinator.
- Cross‑Ecosystem Coordination
- Work closely with:
- Internal SMEs and functional champions
- ODEX and internal AI champions
- External vendors and tool partners (without owning vendor management)
- Curate intelligence from across the ecosystem and convert it into usable capability for employees.
- Functional Skill Architecture & Solutions
- Design:
- Functional skill frameworks
- Learning journeys
- Adoption pathways
- Ensure solutions are:
- Practical
- Easy to apply
- Directly connected to business workflows
- Avoid one‑size‑fits‑all training approaches.
- Measuring Adoption & Business Impact
- Define what successful adoption looks like for each capability initiative.
- Track:
- Usage
- Behavioural change
- Business impact
- Continuously refine solutions based on real‑world feedback and outcomes.
- Collaboration with Consulting & Execution Teams
- Work closely with other CDLs to ensure:
- Strong problem framing
- Integrated solutions
- Handover of execution‑ready plans to delivery teams
Explicit Non‑
Responsibilities
The CDL Does Not
- Scout, buy, or negotiate AI or productivity tools
- Own LMS, delivery logistics, or facilitation
- Act as a technical AI expert or trainer
This role exists to
enable adoption and outcomes, not to run delivery.
Time Allocation (Expected)- 60–65%
- AI capability design
- Adoption strategy
- Consulting with business and SMEs
- 25–30%
- Solution creation and refinement
- Cross‑ecosystem coordination
- 10–15%
- Measurement, insights, and continuous improvement
What Success Looks Like (Plain English)
- Employees actively use AI to work better, faster, and smarter.
- Functional teams show measurable improvements in productivity and quality.
- AI adoption moves beyond pilots and curiosity into daily workflows.
- Business leaders see this role as critical to performance, not support.
- Functional capability gaps reduce year‑on‑year.
