Jobs · Information Technology

Practice Director (DPO)

HCLTech · Hartford, CT · 1 mo ago
RemoteRemoteInformation TechnologyFull-time

Job 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

  • 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.
  • Techon 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
    • 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.
  • 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
  • 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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