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AVP/VP, Technical Project Manager (AI), Technology Group

  • Source: LinkedIn
  • GIC
  • Remote
  • Singapore
  • Full-Time
  • Senior

Job Description

About GIC GIC is one of the world’s largest sovereign wealth funds. With over 2,000 employees across 11 locations around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world’s industry leaders. As a leading global long-term investor, we work at the Point of Impact for Singapore’s financial future, and the communities we invest in worldwide.

Technology Group We experiment, design, and lead a 24×7 global business where we support core capabilities in asset management, trading, investment operations, and risk management. We deliver secure, reliable, and integrated solutions, and provide insights on new and emerging technologies.

Strategy, Architecture, and Transformation Group The Strategy, Architecture & Transformation (SAT) group shapes and drives GIC’s technology strategy, ensuring alignment with business priorities and enterprise goals. Bringing together expertise in strategy, architecture, engineering, and transformation, the team strengthens governance, promotes consistency, and accelerates delivery across the Technology Group. Through modern practices and close collaboration, SAT leads the development of an architectural strategy that reinforces oversight and accountability while enabling reliable, scalable solutions and informed decision making across the Technology Group and, more broadly, across GIC.

AI Engineering The AI Engineering team within SAT is driving GIC’s transformation from AI-enabled to AI-native. We build and operate the foundational AI platform - gateway, agent runtime, agentic IAM, memory, observability, and more - so that every team across GIC can develop and deploy AI agents that are secure, observable, and production-grade.

What impact can you make in this role? The AI Engineering team is growing from a small founding squad into a multi-squad organisation - and it needs someone to keep the machine running. As the Technical Project Manager you will be the single point of accountability for delivery execution across two very different operating models: the AI Foundation platform squads building long-lived infrastructure (gateway, runtime, IAM, memory, observability, SRE), and the Forward Deploy squad running time-boxed engagements embedded with business and technology teams across GIC.

You will own the delivery rhythm - sprint planning, backlog health, dependency tracking, risk escalation, milestone reporting - so that engineers can focus on engineering and leadership has a clear, honest picture of where things stand. You will coordinate across the platform engineering squad, the SRE squad, the security lead, the forward deploy squad, and the augmented (vendor) resources that make up a significant portion of the workforce.

We are early in the journey. The platform is being built and hardened simultaneously, the team is scaling, and priorities shift as the AI landscape evolves. You will bring structure without bureaucracy — just enough process to keep a fast-moving, highly technical team aligned and accountable, without slowing them down.

You are not a status-report collector who chases engineers for updates. You are a delivery partner who understands the work deeply enough to spot risks before they materialise, unblock teams before they ask, and hold the line on commitments without breaking trust.

What will you do as a Technical Project Manager?

  • Own delivery execution across both squads — Run the end-to-end delivery cadence for the AI Foundation platform squads and the Forward Deploy squad. Different rhythms, different stakeholders, one coherent delivery picture. You keep both in sync.
  • Drive sprint and quarterly planning — Facilitate sprint planning, backlog refinement, and quarterly OKR / milestone planning. Ensure work is scoped, estimated, prioritised, and aligned to the roadmap — not just “in the backlog.”
  • Manage dependencies and cross-team coordination — The AI Engineering team depends on Enterprise Cybersecurity, IAM Engineering, Infrastructure, and Enterprise Data Technology. You track those dependencies, chase commitments, escalate blockers, and ensure nothing falls through the cracks.
  • Manage the augmented workforce — Coordinate vendor onboarding, contract timelines, access provisioning, and performance expectations for the augmented resources across SRE, FDE, and UI squads. Ensure vend…

Skills

  • broadly
  • JIRA
  • crisp
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