Global Head of Retail Solutions & AI

We are seeking a Retail Vertical Leader to define, industrialize, and scale differentiated Retail solutions—turning real store and field problems into repeatable offerings delivered globally.

This Director level role reports to the Global Vice President of Sales – Global Accounts Verticals and carries end‑to‑end accountability for Retail solution strategy, offerings, and growth.

Key Responsibilities

• Own Lenovo’s Retail solution strategy and portfolio—define, industrialize, and scale differentiated offerings that retailers can deploy repeatedly across stores, markets, and brands.
• Select focus areas and sub‑vertical plays based on store realities and value pools (e.g., shrink reduction, uptime/availability, labor productivity, conversion/queue reduction, compliance/safety, and the cost to operate store technology at scale).
• Translate store workflows and data flows (store edge compute, POS, payments peripherals, inventory signals, network/SD‑WAN, endpoint telemetry, video, IoT sensors) into repeatable reference architectures, implementation patterns, and outcome‑based offers.
• Build differentiated solutions spanning store modernization and managed services (store edge, endpoints, networks, observability, and cybersecurity) plus Retail AI—strong preference for computer vision and edge AI use cases (shrink/loss prevention, shelf availability, queue/checkout optimization, and exception detection).
• Create new plays and solution‑led motions: ICP, use‑case narratives, value models, delivery approach, and enablement for sales and partners.
• Differentiate Lenovo in Retail by leading with outcomes (store uptime, shrink reduction, improved in‑stock/availability, associate productivity, and improved CX through reduced friction) and proving ROI from pilots through chain‑wide rollouts.
• Scale what works: standardize packaging, pricing/consumption models, partner motions, and delivery assets so offerings are repeatable, supportable, and globally scalable.

Landing and Expanding Lighthouse Retailers

• Land and expand lighthouse retailers, proving measurable outcomes and converting pilots into standardized, multi‑site deployments.
• Create a strong pipeline through solution‑led motions (use‑case plays, co‑sell with partners, executive value stories) rather than product‑led selling.
• Earn credibility with CIO, CDO, COO, and store/field leadership by speaking the language of store operations, merchandising, digital, and supply chain—and aligning stakeholders from store edge to enterprise.
• Build reference wins, value proof points, and reusable assets that make solutions easier to sell, deliver, and scale.

Team Leadership

• Lead and evolve a multi‑disciplinary Retail vertical team, including Offering Development, Solutions Architects, and specialized Retail Sales Executives.
• Align teams across offering innovation, technical solutioning, and sales execution to deliver integrated, outcome‑based solutions.
• Strengthen team capabilities to support both portfolio enhancement and next‑stage growth (store edge, security, managed services, data/AI, omnichannel).
• Recruit and develop talent to match the technical and domain depth required in modern retail environments.
• Establish clear accountability and operating rhythms to drive performance and collaboration.

Cross‑Functional Orchestration

• Partner with Product, Offerings, Engineering, Delivery, and Marketing to shape roadmap, create retail‑ready deliverables, and remove barriers to scale.
• Build and orchestrate the ecosystem (POS/payment ISVs, store networking/SD‑WAN providers, observability platforms, video/camera vision ISVs, hyperscalers, and SIs/MSPs) across store edge, managed services, security, and Retail AI.
• Align global and regional teams around Retail vertical priorities and execution plans.
• Develop partner‑led motions and co‑sell plays that accelerate adoption and enable multi‑country rollouts.

Operational Excellence

• Own vertical outcomes and performance, with emphasis on solution adoption, chain‑wide scale, revenue, margin, and customer impact.
• Use customer and market signals to refine plays, improve delivery repeatability, and inform product/offer roadmap decisions.

Success Milestones (12–24 Months)

• 2‑3 scaled, repeatable Retail solutions in market, with clear value models and delivery assets (e.g., store modernization managed services for edge/endpoints/networks/observability, and Retail AI for loss prevention shelf availability).
• 3‑5 lighthouse retailers with measurable outcomes (shrink reduction, improved store tech uptime, improved in‑stock/availability, reduced queue time/friction, and improved associate productivity).
• A strong pipeline driven primarily by solution‑led motions and partner co‑sell.
• Established credibility with CIO/CDO/COO and store/field leadership as a trusted retail operator/technologist.

Basic Qualifications

• 12‑15 + years leading Retail‑focused technology solutions, services, or productized offerings, including direct engagement with retail business and technology stakeholders.
• Proven ability to build and scale differentiated Retail solutions (from concept to repeatable offer), not just sell pre‑existing services.
• Deep familiarity with store technology architectures and operating models (store edge and networks, POS and peripherals, endpoint lifecycle and support, observability, cybersecurity, and video/vision data flows).

Preferred Qualifications

• Hands‑on experience in retail environments (store operations, field leadership, merchandising, omnichannel/digital, supply chain, or retail IT).
• Demonstrated leadership in store modernization programs leveraging store edge, managed services, network modernization, endpoint strategy, and security/resilience requirements.
• Strong “builder” track record: creating new plays, shaping offers, and influencing product/partner direction in a matrixed global organization.
• Strong preference for experience delivering computer vision and edge AI in retail at scale (shrink/loss prevention, shelf availability/on‑shelf analytics, queue/checkout optimization, and exception detection), including deployment, monitoring, and ongoing model operations.
• Comfort operating with ambiguity and driving alignment across global, matrixed teams spanning product, engineering, delivery, and sales.

Flexibility: This role offers the flexibility to be home‑based anywhere in the U.S. with preference for the Eastern or Central time zones. If you’re near our Chicago or Raleigh offices, we follow a friendly hybrid model with three days a week in the office—great for collaboration and connection!

Compensation and Benefits: The base salary range for this position is $200,000 to $300,000. Individuals may also be considered for bonuses and/or commissions. Lenovo’s benefits can be found at

Equal Opportunity Employer: We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, status as a veteran, and basis of disability or any federal, state, or local protected class.