About this role
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$83 billion revenue global technology powerhouse, ranked #153 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com (https://www.lenovo.com), and read about the latest news via our StoryHub (https://news.lenovo.com/).
Key Responsibilities
1) Strategy, Value Advisory & Executive Leadership
- 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.
2) Forward‑Deployed Engagement & Early Value Realization (FDE)
- 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.
3) GTM Leadership & Customer Journey Excellence
- 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.
4) AI‑Enabled Operating Model & HITL Governance
- 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.
5) Deep Process Discovery & FDE‑Driven Product Goal Creation
- 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.
6) Solution Architecture & Hands‑On Orchestration
- 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.
7) Program Governance, Change Leadership & Value Tracking
- Establish program governance with milestones, KPIs, risks, and dependencies.
- Lead stakeholder communications, executive updates, and operational readiness.
- Track value realization throughout MVP → pilot → scale.
8) Product Management Mindset & Reusable IP Creation
- 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.
Required Qualifications (Band 9)
• Experience: 10–15+ years in Digital Workplace, end user computing, or managed services; 5+ years leading complex, multi tower transformation programs with executive visibility.
• 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.
• 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.