AI-Driven IT Maintenance Project Manager

FPT Asia Pacific

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Job summary

FPT Asia Pacific is seeking a Project Manager to oversee post-commission maintenance of internal-facing systems, including intranet and non-financial apps. You will coordinate vendor teams, manage stakeholders, and ensure smooth operation of mission-critical IT systems.

Key duties include planning and scheduling maintenance, delivering on SLAs, leading QA and risk management, and driving AI-enabled enhancements in collaboration with in-house engineers.

Qualifications

  • 4–6 years of project management experience in IT or government-like environments.
  • Certification in project management (PMP, PRINCE2, etc.) is required.
  • Experience managing vendor teams and complex stakeholder groups.
  • Knowledge of IT security and compliance requirements.

Responsibilities

  • Oversee post-commission maintenance for internal systems and intranet.
  • Develop and maintain project plans, schedules, and resources.
  • Ensure timely delivery of maintenance services and enhancements.
  • Lead vendor maintenance teams and align with priorities.
  • Coordinate stakeholder communications and status updates.
  • Manage QA, risk, compliance, and documentation throughout.
  • Identify and drive AI integration opportunities with the team.
  • Monitor KPIs and conduct service reviews for vendor performance.
  • Maintain system documentation and reporting.

Skills

Project management experience
Vendor management
Communication skills
IT security & compliance knowledge
Stakeholder management

Education

PMP or PRINCE2 certification

Job description

FPT Asia Pacific is seeking a Project Manager to oversee post-commission maintenance of internal-facing systems, including intranet and non-financial apps. You will coordinate vendor teams, manage stakeholders, and ensure smooth operation of mission-critical IT systems.

Key duties include planning and scheduling maintenance, delivering on SLAs, leading QA and risk management, and driving AI-enabled enhancements in collaboration with in-house engineers.

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