Description and Requirements
About Lenovo
Lenovo is a global technology leader in AI infrastructure, high-performance computing (HPC), and data center solutions. Through its AI Cloud and Data Center Services (AICDS) organization, Lenovo enables customers to design, deploy, and scale next-generation accelerated computing environments.
Role Summary
We are hiring a Technical Project Manager to join the Global AICDS team. This role leads the delivery of complex AI infrastructure and data center projects, while also supporting bid and pre-sales activities to ensure successful project execution.
You will manage end-to-end deployments, validate delivery assumptions, and coordinate across global teams, customers, and partners to deliver projects on time, within scope, and within budget.
Key Responsibilities
- Lead end-to-end delivery of AI infrastructure projects, including GPU clusters, HPC environments, and data center deployments
- Manage project scope, timelines, budgets, risks, and dependencies
- Ensure alignment with Statement of Work (SOW) and project deliverables
- Support bid and pre-sales activities by validating technical and delivery assumptions
- Collaborate with sales, solution architects, procurement, and delivery teams
- Coordinate multi-vendor and cross-functional teams across geographies
- Establish project governance including reporting, communication plans, and escalation management
- Track financial performance and drive resolution of project risks and issues
- Support transition of completed projects into operations or managed services
Skills & Experience
Must-have
- 5+ years of project management experience in technical or infrastructure environments
- Experience delivering AI infrastructure, HPC, GPU clusters, or data center projects
- Strong stakeholder management across customers and global teams
- Experience in bid support, proposal validation, or pre-sales project planning
- Knowledge of project governance, risk management, and delivery frameworks
- PMP / PRINCE2 or equivalent certification
- Strong communication skills (written and verbal English)
Good-to-have
- Experience with NVIDIA ecosystems or GPU-based platforms
- Exposure to hyperscale or cloud service provider environments
- Knowledge of data center infrastructure (power, cooling, networking)
- Experience with Agile or hybrid delivery models
- Familiarity with cluster deployment, benchmarking, and validation
