Senior Project Manager

JD.COM; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

JD.COM is seeking a Project Manager for AI infrastructure in Singapore to lead GPU cluster projects from planning through end-to-end delivery. You will coordinate across data centers, vendors, and NVIDIA ecosystem partners, ensure timely milestones, and manage risks and changes while maintaining comprehensive project documentation in English and Chinese.

The role requires 3+ years in technical project management, strong stakeholder management, and experience with Jira, MS Project, and

Qualifications

• 3+ years of experience in technical project management or project delivery.
• Solid knowledge of scope, schedule, milestone, risk, issue, and stakeholder management.
• Ability to lead meetings and prepare project documentation in English and Chinese.
• Experience coordinating across departments, companies, or regions to drive delivery.
• Understanding AI infrastructure architectures, implementation plans, and test results.

Responsibilities

• Manage AI infrastructure and GPU cluster projects from planning to end-to-end delivery.
• Define scope, milestones, deliverables, roles, responsibilities, and acceptance criteria; maintain project plans.
• Manage critical paths, resources, risks, issues, and changes; ensure timely action by stakeholders.
• Coordinate AI infra, data center, vendor, and NVIDIA ecosystem partner teams for smooth execution.
• Track progress of procurement, deployment, racks, power, cooling, cabling, networking, infrastructure readiness.
• Lead project meetings and drive system integration, cluster validation and handover to production
• Provide customers and management with regular updates on progress, milestones, risks, and on-site delivery across APAC.

Skills

Project management experience

Stakeholder management

Bilingual Chinese/English

Cross-functional coordination

Jira

Microsoft Project

Smartsheet

Education

Bachelor’s degree or above in Management/CS/IT/Engineering

Tools

AWS

Azure

GCP

Oracle Cloud

Job description

• 1. Manage AI infrastructure and GPU cluster projects, including project planning, execution scheduling, progress monitoring, and end-to-end delivery.
• 2. Define project scope, milestones, deliverables, roles and responsibilities, and acceptance criteria; develop and maintain comprehensive project plans.
• 3. Manage critical paths, resources, dependencies, risks, issues, and changes, ensuring responsible stakeholders take timely action through closure.
• 4. Coordinate AI infrastructure, data center, vendor, and NVIDIA ecosystem partner teams to ensure smooth project execution.
• 5. Track the progress of hardware procurement, transportation, installation, and deployment, as well as the readiness of racks, power, cooling, cabling, networking, and other critical infrastructure.
• 6. Lead project meetings and drive system integration, cluster validation, performance testing, issue resolution, and handover to production operations.
• 7. Provide customers and management with regular updates on project progress, milestones, and risks, and support on-site project delivery across the APAC region.

What We Need to See：

• 1. Bachelor’s degree (BS) or above in Management, Computer Science, Information Technology, Engineering, or a related field.
• 2. At least 3 years of experience in technical project management or project delivery, with solid knowledge of scope, schedule, milestone, risk, issue, and stakeholder management.
• 3. Proficiency in both Chinese and English, with the ability to lead meetings, conduct business communications, and prepare project documentation in both languages.
• 4. Experience coordinating across departments, companies, or regions, with the ability to drive customers, internal teams, and vendors toward successful delivery.
• 5. Ability to understand AI infrastructure architectures, implementation plans, and test results, and translate them into actionable project plans.
• 6. Strong sense of ownership and a results-oriented mindset, with the ability to manage multiple concurrent projects. Familiarity with Jira, Microsoft Project, Smartsheet, or similar tools.
• 1. Project experience in data centers, GPU clusters, HPC, cloud computing, or AI infrastructure.
• 2. Experience working at cloud service providers such as AWS, Oracle, Microsoft Azure, or Google Cloud, or delivering projects in collaboration with these providers.
• 3. Experience working with NVIDIA Cloud Partners (NCPs), NVIDIA Partner Network (NPN) partners, OEMs, system integrators, or data center operators.
• 4. Familiarity with servers, GPUs, DPUs, storage systems, and data center infrastructure.
• 5. Understanding of hardware deployment, network and storage integration, system validation, performance testing, and production handover processes.
• 7. Project management or Agile certifications such as PMP, PgMP, PRINCE2, PMI-ACP, CSM, or PSM.
• 8. Certifications such as ITIL, CDCP/CDCS, Uptime Institute, NVIDIA AI Infrastructure, or other relevant data center certifications.
• 9. Cloud architecture or infrastructure certifications from AWS, Microsoft Azure, Google Cloud Platform (GCP), or Oracle Cloud Infrastructure (OCI).