• Bachelor's Degree in Information Systems, Engineering, Project Management or relevant fields

• Minimum 10 years of relevant work experience in project management or construction management with proven track records in data centre and AI infrastructure projects

• Possess good leadership with great problem-solving skills

• Possess excellent communication skills in English with attention to detail

• Possess strong negotiation skills and interpersonal skills

• Proven ability to lead cross-functional teams and manage multiple projects simultaneously

• Proficient in project management tools

• Professional project management certifications or equivalent will be an advantage

• Experience in delivering large-scale projects based on GPU, AI, HPC, or Cloud infrastructure will be an advantage

• Experience in tender- and contract-based projects within public sector or large enterprise environments will be an advantage

Desirable qualifications

• Experience supporting and delivering AI and HPC workloads on GPU cluster or GPU cloud environments, with sufficient technical understanding to guide project decisions, assess delivery risks, and align customer use cases with platform capabilities

• Practical familiarity with orchestration and workload management platforms such as Kubernetes or Slurm, enabling informed discussions on deployment models, operational impacts, and delivery sequencing

• Working understanding of GPU cluster architectures, including GPU-to-GPU communications, sufficient to evaluate design options, performance considerations, and project trade-offs

• Experience overseeing or coordinating proof-of-concept (POC), pilot, or trial deployments for enterprise or public-sector customers, including technical readiness validation and transition planning

• Knowledge of security, compliance, and regulatory considerations applicable to GPUaaS or mission-critical infrastructure, enabling effective governance across project execution and operational handover

• Experience contributing to RFP/RFO or tender-based engagements in enterprise or regulated environments, particularly in reviewing technical scope, delivery assumptions, risks, and dependencies

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