search Browse Jobs
Lead Project ManagerNCS · Singapore, sg
NCS logo

NCS

company page ↗

Lead Project Manager

🗓️ Posted 2026-09-08 Singapore, sg Contract Hybrid ICT
💰 Salary Not shared 📊 Market S$8,000–S$12,000/mo

About the Company

NCS is a leading AI Tech Services company with a 15,000-strong team across the Asia Pacific. NCS scales its platforms and capabilities to provide clients with greater agility and AI expertise across a range of Industries. Embracing a strong ecosystem of global partners, NCS transforms technology services delivery combining AI with digital resilience to drive real business impact. NCS is a subsidiary of the Singtel Group.

About the Role

The Technical Project Manager will oversee the end-to-end delivery of enterprise digital and AI platform initiatives, including the implementation of foundational capabilities for AI/LLM/Multi-Agent platforms across business units. The role is accountable for planning, coordination, execution, and delivery of complex platform components such as Model & Inference Gateway, Shared Agent Runtime, Shared RAG Service, Developer Portal, ML Training Plane. This role requires a hands-on, technically fluent project manager who can independently reason through technical issues, engage deeply with architects on design decisions, and effectively represent the engineering perspective in stakeholder discussions.

Responsibilities

  • ● Deliver complex AI projects end-to-end, from initiation through production rollout.
  • ● Develop and maintain detailed project plans, schedules, milestones, and delivery roadmaps.
  • ● Track progress across multiple technical workstreams (design, platform services, integrations, security, operations, vendors).
  • ● Manage scope, dependencies, risks, and issues to ensure timely delivery of MVPs and phased releases.
  • ● Work closely with engineering teams, solution architects, security, and business stakeholders to clarify requirements and align deliverables.
  • ● Act as a single point of coordination across internal teams, external vendors, and technology partners.
  • ● Facilitate sprint ceremonies, technical working sessions, and cross-functional alignment forums.
  • ● Independently troubleshoot technical concerns at a fundamental (101) level using first-principles reasoning, without relying on engineering teams for basic analysis.
  • ● Translate technical challenges into clear options, risks, and next steps to move discussions forward.
  • ● Actively engage with solution architects on architectural and design decisions, asking informed questions and validating alignment with business and delivery constraints.
  • ● Understand core platform components well enough to break down technical requirements into executable project tasks.
  • ● Maintain accurate status reports, RAID logs, dashboards, and delivery metrics.
  • ● Communicate progress, risks, blockers, and mitigation plans clearly and confidently to leadership and stakeholders.
  • ● Ensure compliance with security, governance, AI Safety, and Responsible AI standards throughout the delivery lifecycle.
  • ● Support onboarding of pilot use cases onto shared platforms.
  • ● Coordinate documentation, training materials, and developer enablement activities to drive adoption.
  • ● Serve as a trusted interface between technical teams and non-technical stakeholders.

Requirements

  • ● Bachelor's in Computer Science, Engineering, IT, or related field.
  • ● 5-8 years of experience as a Project Manager or Technical Project Manager delivering enterprise digital or platform projects.
  • ● Demonstrated delivery of at least two digital projects end-to-end.
  • ● Experience managing multi-team, technically complex programs with dependencies across engineering, architecture, and vendors.
  • ● Working as a developer/team lead that completed end-to-end bespoke projects.
  • ● Exposure to cloud platforms, AI/ML systems (including technologies such as RAG and MCP), or large-scale enterprise technology programs preferred.
  • ● Strong technical foundation enabling independent troubleshooting and reasoning at a conceptual level.
  • ● Ability to engage in meaningful architectural conversations with solution architects.
  • ● Excellent communication skills.