Note: The job is a remote job and is open to candidates in USA. Lenovo is a global technology powerhouse focused on delivering Smarter Technology for All. As a Principal Digital Transformation Consultant, you will lead strategic workplace modernization for enterprise customers, combining executive advisory, solution architecture, and hands-on technical orchestration to drive value and accelerate deployment.
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 P&L 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
- Build or orchestrate lightweight integrations, automations, telemetry mappings, and xIQ insights needed to achieve the first measurable outcomes
- Configure early deployment patterns across provisioning, xIQ dashboards, automation rules, or experience telemetry readiness
- 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 pursuit 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
- Prioritize AI and automation use cases, guiding rollout into proactive support and self‑heal scenarios using Lenovo xIQ
- Run hands‑on discovery using workshops, telemetry, analytics, and frontline shadowing
- Translate discovery insights into product goals, user stories, and measurable outcomes
- 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
- Operate with product‑owner discipline for AI/ML platforms and automation at scale
- Manage backlog, MVP scope, pilot feedback loops, and release cadence
- Convert customer patterns into reusable IP—frameworks, automation packs, telemetry templates
Skills
- AI & Automation: Practical knowledge of Predictive AI, Generative AI, and Agentic patterns; proven ability to frame use cases, risks, and controls for executive decision making
- 10-15 years managed services within Big 4 or Large Global Systems Integrators
- 5+ years leading complex, multi tower transformation programs with executive visibility
- Financial Acumen: Strong command of business case development, P&L impact modeling, TCO/ROI, and cloud economics; ability to map IT investment to business value
- Workshops & Co Creation: Exceptional facilitation skills (discovery, value, design, governance) with a record of co creating roadmaps and gaining stakeholder alignment
- Solution Depth: Hands on familiarity with modern deployment, UEM, collaboration, identity/security, DEX/experience analytics (Lenovo xIQ or equivalent), and service desk modernization
- Product Mindset: Experience owning the lifecycle of a complex, data intensive enterprise product (AI/ML platform or large scale automation preferred)
- Industry Exposure: Direct experience in healthcare, retail, and/or telco, with ability to adapt patterns to domain outcomes
- Communication: Outstanding executive storytelling, negotiation, and written/verbal communication across business and technical audiences
- Leadership: Mentors senior consultants/architects; influences cross functional teams; collaborates across Sales, Offering, Delivery, and Partners
Company Overview
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