Transformation Lead - Business Operations & AI
6 days ago
London
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, • 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.