About Singtel Digital InfraCo RE:AI
Singtel Digital InfraCos RE:AI division is building Asias 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 Singtels GPU-as-a-Service (GPUaaS) platform. This includes overseeing the full project and service lifecyclefrom initiation and design through build integration transition to operations and steady-state service deliveryensuring 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 Singtels platform standards and service capabilities.
Make an Impact by
GPUaaS platform Project & Service Management
- Review and govern the end-to-end project lifecycle (initiation planning execution transition security confidentiality clearance to operations and closure) for GPU-as-a-Service (GPUaaS) platformbased projects
- Review and approve project schedules quality plans budgets communication plans and risk management plans for GPUaaS platform deployment and operations
- Manage scope definition and resolve disputes that may impact scope timeline or cost particularly in the context of GPUaaS capabilities capacity and SLA commitments
- Manage end-to-end integration of project components across the GPUaaS platform stack including hardware provisioning GPU cluster build-out software and platform installation testing and validation business process review and redesign application enablement workload migration and data conversion
- Manage project financials ensuring accurate cost and revenue forecasting for GPUaaS platform delivery and ongoing service operations
- 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 including GPUaaS platform availability capacity readiness and operational KPIs
- 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 platform build to steady-state operations in accordance with customer requirements service processes and operational governance
- 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 customers 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 Manager(s) for development of that opportunity
- Participate in tender activities by providing project deliveryrelated guidance to proposal development and by reviewing scope and risk considerations to support compliance with tender requirements
- 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
- Bachelors 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!
Required Experience:
Director
About Singtel Digital InfraCo RE:AISingtel Digital InfraCos RE:AI division is building Asias 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 comp...
About Singtel Digital InfraCo RE:AI
Singtel Digital InfraCos RE:AI division is building Asias 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 Singtels GPU-as-a-Service (GPUaaS) platform. This includes overseeing the full project and service lifecyclefrom initiation and design through build integration transition to operations and steady-state service deliveryensuring 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 Singtels platform standards and service capabilities.
Make an Impact by
GPUaaS platform Project & Service Management
- Review and govern the end-to-end project lifecycle (initiation planning execution transition security confidentiality clearance to operations and closure) for GPU-as-a-Service (GPUaaS) platformbased projects
- Review and approve project schedules quality plans budgets communication plans and risk management plans for GPUaaS platform deployment and operations
- Manage scope definition and resolve disputes that may impact scope timeline or cost particularly in the context of GPUaaS capabilities capacity and SLA commitments
- Manage end-to-end integration of project components across the GPUaaS platform stack including hardware provisioning GPU cluster build-out software and platform installation testing and validation business process review and redesign application enablement workload migration and data conversion
- Manage project financials ensuring accurate cost and revenue forecasting for GPUaaS platform delivery and ongoing service operations
- 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 including GPUaaS platform availability capacity readiness and operational KPIs
- 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 platform build to steady-state operations in accordance with customer requirements service processes and operational governance
- 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 customers 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 Manager(s) for development of that opportunity
- Participate in tender activities by providing project deliveryrelated guidance to proposal development and by reviewing scope and risk considerations to support compliance with tender requirements
- 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
- Bachelors 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!
Required Experience:
Director
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