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.