联想
Principal Digital Transformation Consultant
岗位职责
Key Responsibilities
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.
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.
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.
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.
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.
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.
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.
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
任职要求
(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.
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