Global Client Transformation Lead – Business Operations & AI
Location: London (Hybrid)
Required Skills & Experience
- 20+ years of experience in transformation, digital, or enterprise program leadership
- Strong consulting or client facing experience with senior stakeholders‑facing experience
- Proven ability to define strategy and execute at scale
- Deep process expertise with the ability to identify transformation opportunities
- Hands‑on exposure to AI, automation, and RPA programs
- Strong program governance and execution discipline
- Excellent communication, executive presence, and stakeholder management skills
- Experience working in global, matrixed, and shared services environments
Nice to Have
- PMP, CSM, SAFe, or Azure certifications.
- Exposure to AI governance, model lifecycle management, or Responsible AI.
Role Structure – Three Core Elements
1. Strategic Management & Client Leadership
Act as the primary transformation partner for client leadership across Business Operations, Digital Transformation, and AI.
- Define and own end-to-end transformation strategy for client accounts, including:‑
- Multi‑year transformation roadmaps
- Transformation charters and operating models
- Business cases, value hypotheses, and ROI models
- Shape and prioritize transformation initiatives across domains such as Quote to Cash, P2P, HRO, Manufacturing, Logistics, Sales Support, Supply Chain, Procurement, and F&A, Enterprise Standards, Customer Experience, et al
- Identify, structure, and position AI-led and digital opportunities aligned to client business objectives and contractual outcomes.
- Lead executive level client interactions, including steering committees and transformation councils.
- Influence decision making on scope, investments, tradeoffs, and sequencing in complex, matrix environments.
- Represent HCL as a trusted advisor and transformation leader, strengthening long term client relationships and strategic positioning.
2. Techno Functional Execution & Value Realization
Lead end-to-end execution of transformation initiatives, from discovery and design through deployment and steady state operations.
- Own delivery of AI, automation, and process re‑engineering programs, ensuring:
- Clear scope and deliverables
- High quality execution‑quality execution
- Realization of committed business benefits
- Lead the deployment of solutions in areas such as Agentic AI, LLM-based technologies, low-code automation, RPA, workflow platforms, analytics, reporting, and COTS platforms.
- Translate strategy into actionable execution plans, milestones, and measurable outcomes tied to productivity, efficiency, cost, and experience.
- Partner closely with engineering, architecture, and operations teams to ensure:
- Technical feasibility and scalability
- Secure, compliant, and sustainable solutions
- Track, validate, and evidence benefits realization with the client.
- Drive adoption of new processes and technologies through structured change management and enablement.
3. Program Management, Governance & Client Reporting
Provide a single point of accountability for complex, multi-workstream transformation programs, ensuring predictable delivery against agreed outcomes.
- Establish and operate client ready governance frameworks covering delivery cadence, risk and dependency management, and scope and change control.
- Lead Agile and hybrid delivery models to drive visible, incremental progress across global and multi‑vendor teams.
- Deliver clear, insight driven executive reporting—program status, risks, dependencies, and value realization—ensuring alignment between client expectations, delivery execution, and business outcomes.
