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: • Speed • Quality • 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 1. 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.   2. 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.   3. 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.   4. 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.   5. 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.   6. 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.