Project Director, GPUaaS

About Singtel Digital InfraCo – RE:AI

Singtel Digital InfraCo’s RE:AI division is building Asia’s most advanced and sustainable AI infrastructure ecosystem. RE:AI enables enterprises, research institutions, and digital-native businesses to accelerate innovation through responsible, high-performance AI compute and connectivity solutions.

Be a Part of Something BIG!

As a Project Director, you will be responsible for leading, governing, and delivering end-to-end GPU- and AI-factory initiatives on Singtel’s GPU-as-a-Service (GPUaaS) platform. This includes overseeing the full project and service lifecycle—from initiation and design through build, integration, transition to operations, and steady-state service delivery—ensuring solutions are delivered with high quality, within approved scope, on schedule, and in full compliance with agreed processes, standards, security requirements, and customer service commitments.

You will also play a key role in supporting customer engagements and business growth by providing project delivery leadership, contributing to tender and pre-sales activities from a delivery and operational perspective, and ensuring that proposed GPUaaS solutions are feasible, scalable, and aligned with Singtel’s platform standards and service capabilities.

Make an Impact by

• GPUaaS platform Project & Service Management
• Customer/Vendor/ Stakeholder Management
• Business Development

Skills For Success

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

Rewards that Go Beyond

• Flexible work arrangements
• Full suite of health and wellness benefits
• Ongoing training and development programs
• Internal mobility opportunities

Your Career Growth Starts Here. Apply Now!