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.