Project Director, GPUaaS
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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.
GPUaaS platform Project & Service Management
- Review and govern the end‑to‑end project lifecycle for GPUaaS platform‑based projects.
- Review and approve project schedules, quality plans, budgets, communication plans, and risk management plans for GPUaaS deployment and operations.
- Manage scope definition and resolve disputes that may impact scope, timeline, or cost.
- Manage end‑to‑end integration of project components across the GPUaaS platform stack.
- Manage project financials, ensuring accurate cost and revenue forecasting.
- Oversee project implementation with respect to timeline, budget, manpower, quality, and service readiness for GPUaaS consumption.
- Monitor and report project and service status to senior management and customers.
- Manage resources and manpower to maximise productivity and efficiency of GPUaaS platform project execution and service operation.
- Lead the project and operations teams to ensure a smooth transition from GPUaaS build to steady‑state operations.
- Manage ongoing project‑related operations and ensure GPUaaS service levels are maintained without delays, service degradation, or security incidents.
Customer/Vendor/ Stakeholder Management
- Manage contracts, vendors, and subcontractors.
- Effectively engage stakeholders and customers in project decisions and execution.
- Build long‑term customer relationships by anticipating customer needs.
- Lead escalation management and resolve complex commercial, technical, and delivery issues across customers, vendors, and internal stakeholders.
Business Development
- Proactively identify opportunities for further expansion or improvement of services delivered and liaise with Account Managers for development of that opportunity.
- Participate in tender activities by providing project delivery‑related guidance to proposal development.
- Support pre‑sales activities from a technical and operational perspective, providing guidance to ensure proposed solutions or service enhancements are appropriately assessed in terms of feasibility, benefits, and cost.
Skills For Success
- Bachelor’s Degree in Information Systems, Engineering, Project Management or relevant fields.
- Minimum 10 years of relevant work experience in project or construction management with proven track records in data centre and AI infrastructure projects.
- Good leadership with strong problem‑solving skills.
- Excellent communication skills in English with attention to detail.
- 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 an advantage.
- Experience delivering large‑scale projects based on GPU, AI, HPC, or Cloud infrastructure an advantage.
- Experience in tender‑ and contract‑based projects within public sector or large enterprise environments an advantage.
Desirable Qualifications
- Experience supporting and delivering AI and HPC workloads on GPU cluster or GPU cloud environments.
- Familiarity with orchestration and workload management platforms such as Kubernetes or Slurm.
- Understanding of GPU cluster architectures, including GPU‑to‑GPU communications.
- Experience overseeing or coordinating proof‑of‑concept, pilot, or trial deployments for enterprise or public‑sector customers.
- Knowledge of security, compliance, and regulatory considerations applicable to GPUaaS or mission‑critical infrastructure.
- Experience contributing to RFP/RFO or tender‑based engagements in enterprise or regulated environments.
Rewards that Go Beyond
- Flexible work arrangements.
- Full suite of health and wellness benefits.
- Ongoing training and development programs.
- Internal mobility opportunities.
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