Senior Manager, Supercomputing Center

HSITP Hong Kong-Shenzhen Innovation and Technology Park

Hong Kong

On-site

HKD 1,000,000 - 1,400,000

Full time

2 days ago
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Benefits offered by this job

Competitive annual leave entitlement
Medical benefits from Day-1 with depen
Training sponsorship
Professional membership fee reimburse

Job summary

HSITP Hong Kong-Shenzhen Innovation and Technology Park seeks an experienced Data Center & AI Compute Facility Leader to steer long-term infrastructure strategy for cross-border facilities in Hong Kong and Shenzhen. You will coordinate capacity planning, capital and operating budgets, and vendor relations to deliver high-density AI and HPC environments.

You will drive asset lifecycle, safety compliance, and cross-campus monitoring, while advancing green cooling and renewable energy integration

Qualifications

  • Bachelor's degree in Electrical or Mechanical Engineering, Computer Engineering or related discipline.
  • MBA or MSc in Infrastructure Management preferred.

Responsibilities

  • Support in formulating the 3-to-5-year data center, supercomputing center and intelligent computing capacity roadmap aligned with HSITP's priorities, including balance of build-to-suit and colocation.
  • Manage the department's OpEx planning, multi-year CapEx planning, ROI tracking, rack capacity and revenue forecasting for cross-border facilities.
  • Oversee asset portfolio and lifecycle delivery of new data center builds, expansions, retrofits and AI computing zones with vendors.
  • Coordinate Hong Kong Buildings Department approvals, logistics for heavy power and cooling equipment, and cross-site safety alignment.
  • Manage acceptance testing, cutover and migration of tenant workloads with minimal disruption to R&D and AI training.
  • Develop SOPs, maintenance cycles and asset management across HK and Shenzhen; support unified DCIM automation for cross-campus monitoring.
  • Implement ESG initiatives by optimizing PUE, renewable energy integration, water recycling and low-carbon cooling for high-density AI racks.
  • Collaborate across teams to design customized colocation, data rack leasing and private AI pod solutions for global R&D institutions and enterprises.
  • Develop long-term partnerships with government, Shenzhen Park, utilities, telecoms, and certification bodies.

Skills

Data center leadership
AI/HPC infrastructure
Renewable energy cooling
Safety compliance
FM200 systems
Cross-border collaboration

Education

BEng in Electrical/Mechanical/Computer Eng
MBA or MSc in Infrastructure Management preferred

Job description

  • Support in formulating the 3-to-5-year data center, supercomputing center and intelligent computing capacity roadmap aligned with HSITP's priorities, including the appropriate balance of build-to-suit and colocation solutions
  • Manage the data center department's annual OpEx and multi-year CapEx planning, ROI tracking, rack capacity and revenue forecasting, cost optimization and profitability analysis for cross-border facilities, and provide recommendations to the Associate Director
  • Manage the asset portfolio and oversee the full lifecycle delivery of new data center builds, expansions, retrofits and AI computing zones, coordinating architecture, MEP and construction vendors
  • Coordinate Hong Kong Buildings Department statutory approvals, logistics for heavy power and cooling equipment, and cross-site safety alignment
  • Manage acceptance testing, cutover and migration of tenant workloads, minimizing disruption to R&D and AI training operations
  • Develop and implement standardized SOPs, maintenance cycles and asset management practices across Hong Kong and Shenzhen sites, and support the deployment of unified DCIM automation for real-time cross-campus monitoring
  • Implement HSITP's data center ESG initiatives by optimizing PUE, supporting renewable energy integration, and implementing water recycling and low-carbon cooling solutions for high-density AI racks
  • Collaborate across teams to design customized colocation, data rack leasing and private AI pod solutions for global R&D institutions, biotech startups, cloud vendors and industrial enterprises
  • Develop and maintain long-term partnerships with key stakeholders, including government departments, Shenzhen Park, power utilities, submarine cable operators, telecom carriers, construction contractors and certification bodies
Requirements
  • Bachelor’s degree in Electrical or Mechanical Engineering, Computer Engineering or related discipline; MBA or MSc in Infrastructure Management is preferred
  • Minimum 10 years progressive data/ supercomputing center critical infrastructure experience, with at least 3 years at supervisory level
  • Prior experience in managing AI / HPC / supercomputing data center
  • Experience with FM200 fire suppression, high-density liquid cooling and renewable energy for data center is preferred
  • Professional certifications such as Holder of Registered Electrical Worker license Grade H, Registered Safety Officer, and Uptime Institute ATD or equivalent cross-border data compliance credentials are highly preferred
  • Strong business ownership mindset, agile & adaptable
  • Excellent influencing skills, problem solving and communication skills
  • Excellent command of spoken and written English and Chinese (including Putonghua)
  • Frequent Travel or Permanent Work in Lok Ma Chau Office is required (Shuttle bus service & MTR concession scheme is available)
Company Benefits
  • Competitive annual leave entitlement
  • Medical benefits from Day-1 with extended coverage to dependent(s)
  • Training sponsorship
  • Professional membership fee reimbursement

Personal data provided will be treated in strict confidence and used for recruitment purpose only. All personal data collected will be used strictly in accordance with employer’s personal data policies, you can access the Personal Information Collection Statement at https://www.hsitp.org/en/career/page/1

Applicants not invited for interview within four weeks after application deadline may consider their applications unsuccessful. Personal data of unsuccessful applicants will be retained for a maximum of two years.

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