Digital Transformation Executive

🌍 Remote, USA 🎯 Full-time 🕐 Posted Recently

Job Description

Role Summary

The Global Client Transformation Lead is accountable for driving large scale, outcome led transformation for strategic clients, combining strategic leadership, hands-on techno functional execution, and strong program governance.

The role partners closely with client executives and internal delivery teams to define transformation vision, execute AI-led process transformation programs, and ensure measurable business value realization.

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.
    Required Skills & Experience
  • 15+ 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.

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