Data Center Head

UMI TECH; Singapore; On-site; SGD 320,000 - 450,000; Full time

Job summary

UMI TECH in Singapore seeks a senior AI Compute & Infrastructure leader to own and execute the global compute strategy across China, Hong Kong, Singapore and overseas markets. You will lead data center development, GPU procurement, supply chain, and cluster operations to support next‑generation LLM and AI businesses with end‑to‑end ownership and measurable efficiency gains.

This role requires deep experience in site selection, construction, capacity planning, and regulatory compliance to deliver

Qualifications

• Bachelor's degree or above in Computer Science, Electronic Engineering, Communications Engineering, Electrical Engineering, or a related discipline.
• 8+ years of experience in data centers, cloud computing, AI compute infrastructure, or related fields.
• Strong expertise in Singapore and SEA IDC site selection, data center construction, and infrastructure operations; China experience is a plus.
• Extensive experience in GPU server procurement, supply chain management, vendor negotiation, and cost control.
• Knowledge of AI compute scheduling, GPU training/inference clusters, and compute leasing/business models.
• Familiarity with export controls, cross-border data compliance, international regulatory requirements, and energy resource policies.

Responsibilities

• Develop and execute the company's AI compute strategy and infrastructure roadmap.
• Lead IDC site selection, negotiation, construction, and delivery including power, PUE, and network considerations.
• Coordinate data center nodes across Hong Kong, Shenzhen, Singapore, and overseas markets.
• Lead GPU server procurement, networking equipment, and related software and infrastructure.
• Manage supplier negotiations, delivery schedules, and procurement costs.
• Establish and manage AI compute cluster operations and maintenance systems and incident response.

Skills

Strategic AI infra leadership

Data center operations

GPU procurement

Supply chain management

Compute scheduling

Regulatory compliance

Education

Bachelor's degree or above in CS/EE/related field

Tools

NVIDIA GPUs

Networking equipment

Data center construction

Job description

We are looking for a senior AI Compute & Infrastructure leader to build and lead our global AI computing infrastructure strategy across China, Hong Kong, Singapore and overseas markets. This is a high-impact leadership role with end-to-end ownership of AI compute capacity, data center development, GPU procurement, supply chain, and cluster operations - helping shape the infrastructure foundation that powers our next-generation LLM and AI businesses.

I. AI Compute Strategy & Planning

• Develop and execute the company's domestic and international AI compute strategy and infrastructure roadmap,
• Key Deliverables: Ensure sufficient compute capacity to meet peak business demand while continuously reducing the unit cost of compute.

II. Data Center Development & Infrastructure

• Lead IDC site selection, negotiation, construction, and delivery, covering power capacity, energy efficiency/PUE, network bandwidth, geopolitical and regulatory considerations, and other critical factors.
• Coordinate the development and deployment of data center nodes across Hong Kong, Shenzhen, Singapore, and other overseas markets.
• Key Deliverables: Ensure all data center nodes are delivered on schedule, within budget, and in compliance with target PUE and availability standards, with no material delays or cost overruns.

III. Supply Chain & Procurement

• Lead the procurement of GPU servers (including NVIDIA and domestic AI compute solutions), networking equipment, and related software and infrastructure.
• Manage supplier negotiations, supply chain relationships, delivery schedules, and procurement costs.
• Key Deliverables: Ensure critical equipment is delivered on time and achieve procurement costs that are competitive with or below prevailing market levels.

IV. Operations & Compute Scheduling

• Establish and manage a comprehensive AI compute cluster operations and maintenance (O&M) system, compute scheduling platform, and incident/emergency response mechanisms.
• Ensure the stability, availability, and SLA performance of the company's compute infrastructure.

Qualifications

• Education: Bachelor's degree or above in Computer Science, Electronic Engineering, Communications Engineering, Electrical Engineering, or a related discipline.
• Experience:
• 8+ years of experience in data centers, cloud computing, AI compute infrastructure, or related fields.
• Core Expertise:
• Strong expertise in Singapore and SEA IDC site selection, data center construction, and infrastructure operations. China experience will be a plus point
• Extensive experience in GPU server procurement, supply chain management, vendor negotiation, and cost control.
• Strong understanding of AI compute scheduling, GPU training/inference clusters, and compute leasing/business models.
• Compliance & Regulatory Knowledge:
• Familiarity with export controls, cross-border data compliance, international regulatory requirements, and policies governing power and energy resource allocation.