Planning & Resources Operations Manager

中國移動; Hong Kong; On-site; HKD 1,200,000 - 1,800,000; Full time

Job summary

中國移動 is seeking a senior Computing Power Network Lead in Hong Kong to guide long-term capacity planning and the alignment of infrastructure with the company’s AI initiatives. The role interfaces with Group-level offices to synchronize resource allocation and regional planning with strategic goals.

The candidate will oversee IDC, AIDC, and intelligent computing operations, building elastic, resilient capacity plans and forecasting models while evaluating stacks and disaster recovery strategies.

Qualifications

• Bachelor's degree or above in Computer Science, Artificial Intelligence, Big Data, or related field.
• 5+ years of relevant working experience.
• Familiar with cloud-native architecture; proficient in OpenStack, Kubernetes (K8s).
• Understanding of GPU/NPU computing cluster architecture, HPC, and high-speed interconnect networking (e.g., RoCE).
• Strong in system documentation writing and architecture design; able to produce structured planning reports and technical blueprints.

Responsibilities

• Lead the formulation and dynamic adjustment of the computing power network development plan to align with digital transformation and AI goals.
• Liaise with Group's Computing Power Office to implement resource allocation at national and group levels, ensuring regional plans stay aligned with strategy.
• Oversee unified management, scheduling, and operations of regional IDC, AI Data Centers, and intelligent computing resources; develop capacity expansion and forecasting models.
• Evaluate technology stacks in cloud and computing power environments; formulate resource orchestration and disaster recovery strategies.
• Monitor core metrics like computing power utilization, PUE, and ROI; perform data mining to identify bottlenecks and drive efficiency.

Skills

Cloud-native architecture

Server virtualization

OpenStack

Kubernetes

GPU/NPU computing

HPC

RoCE networking

System documentation

Architecture design

Education

Bachelor's degree in CS/AI/Big Data or related field

Job description

• Lead the formulation and dynamic adjustment of the company's long-term computing power network development plan, ensuring that infrastructure construction aligns with the company's digital transformation and AI business development goals.
• Serve as the interface person to liaise with the Group's Computing Power Office, implementing resource allocation requirements at both national and group levels, and ensuring that regional planning stays synchronized with the overall strategy.
• Oversee the unified management, scheduling, and operations of regional traditional IDC, AI Data Centers (AIDC), and intelligent computing resources. Analyze business needs and technology trends to develop science-based capacity expansion plans, capacity forecasting models, and resource allocation plans, ensuring elastic and stable computing power supply.
• Evaluate the suitability of various technology stacks (operating systems, databases, AI frameworks, etc.) in cloud and computing power environments, and formulate resource orchestration and disaster recovery strategies.
• Responsible for the statistics and monitoring of core business metrics, including computing power resource utilization, Power Usage Effectiveness (PUE), and Return on Investment (ROI). Through deep data mining and analysis, identify operational bottlenecks, propose optimization initiatives, and continuously enhance the operational efficiency and market competitiveness of computing power assets.

Job Requirements

• Bachelor's degree or above, preferably in Computer Science, Artificial Intelligence, Big Data, or a related field.
• 5+ years of relevant working experience.
• Familiar with cloud-native architecture; proficient in mainstream cloud platform components, including server virtualization, OpenStack, and Kubernetes (K8s).
• Understanding of GPU/NPU computing cluster architecture, High-Performance Computing (HPC), and high-speed interconnect networking (e.g., RoCE).
• Strong in system documentation writing and architecture design, able to produce structured planning reports and technical blueprints.