Principal Digital Transformation Consultant

Key Responsibilities

• Lead C-suite and VP-level strategy workshops to align vision, value drivers, AI adoption priorities, and operating model shifts.
• Build board-ready business cases and PL models quantifying TCO, OpEx/CapEx mix, cost-to-serve improvements, productivity lift, and experience impact.
• Translate AI/automation, UEM, and collaboration programs into investment theses and risk narratives for executives.
• Embed with customers during early engagement to drive hands-on discovery, process validation, and rapid prototyping.
• Own the first working version of the solution in partnership with SAs, delivery, and product.
• Ensure early value milestones (e.g., MTTR reduction, automation coverage, Autopilot/UEM readiness) are achieved quickly.
• Drive end-to-end customer journeys from assessment → blueprint → MVP → scale → steady state.
• Partner with Sales, Offering, and Marketing to craft value narratives and pursue strategies.
• Mentor pursuit teams and raise win-rates through improved storytelling, qualification, and solution strength.
• Create hybrid AI + human operating models with clearly defined HITL touchpoints, safety constraints, and governance.
• Define escalation paths, decision boundaries, and quality guardrails for predictive and agentic automation patterns.
• Shape MVPs, automation packs, and roadmap increments with DWS, xIQ, and Offering teams.
• Validate hypotheses through customer-embedded prototypes and pilots.
• Convert business outcomes into end-to-end architecture across DWS, DaaS, UEM/Autopilot, collaboration, security, and modern support.
• Act as forward-deployed orchestrator during MVP: configure telemetry, align identity/security, tune automation rules, validate xIQ dashboards.
• Partner with architects and delivery to ensure feasibility, scalability, and optimization.
• Establish program governance with milestones, KPIs, risks, and dependencies.
• Lead stakeholder communications, executive updates, and operational readiness.
• Track value realization throughout MVP → pilot → scale.

Required Qualifications

• 10–15+ years in Digital Workplace, end user computing, or managed services; 5+ years leading complex, multi-tower transformation programs with executive visibility.
• Practical knowledge of Predictive AI, Generative AI, and Agentic patterns; proven ability to frame use cases, risks, and controls for executive decision making.
• Strong command of business case development, PL impact modeling, TCO/ROI, and cloud economics; ability to map IT investment to business value.
• Exceptional facilitation skills (discovery, value, design, governance) with a record of co creating roadmaps and gaining stakeholder alignment.
• Hands on familiarity with modern deployment, UEM, collaboration, identity/security, DEX/experience analytics (Lenovo xIQ or equivalent), and service desk modernization.
• Experience owning the lifecycle of a complex, data-intensive enterprise product (AI/ML platform or large-scale automation preferred).
• Direct experience in healthcare, retail, and/or telco, with ability to adapt patterns to domain outcomes.
• Outstanding executive storytelling, negotiation, and written/verbal communication across business and technical audiences.
• Mentors senior consultants/architects; influences cross-functional teams; collaborates across Sales, Offering, Delivery, and Partners.