Career Opportunities: VP, Technical Project Manager (AI), Technology Group (17250)

Location: Singapore

Job Function: Technology Group 

Job Type: Permanent

Req ID: 17250 

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 vendors are productive from day one and aligned to team standards.
• Keep stakeholders informed — Produce clear, concise status reporting for senior leadership — progress against milestones, budget health, risk posture, and team capacity. No jargon, no filler, no surprises.
• Build just-enough process — Establish delivery practices (sprint cadence, retrospectives, definition of done, release checklists) that scale with the team. Adapt the process as the team grows from 14 to 25+ — what works for a founding squad won't work for five squads.
• Support the hiring and scaling plan — Coordinate the logistics of the hiring pipeline: interview scheduling, onboarding sequencing, seat planning, and the phased squad stand-up. You are the operational backbone of team growth.
• Manage the JIRA backlog and delivery tooling — Own the health of the AIPE project board: epic structure, story quality, sprint hygiene, and reporting dashboards. Ensure the backlog is a reliable source of truth, not a graveyard of stale tickets.
• Champion delivery culture — Run effective retrospectives. Track action items to closure. Celebrate wins. Surface systemic issues (recurring blockers, toil, process friction) and drive improvements.

What qualifications or skills should you possess in this role?

• Must Have:
  • 8 + years in technical project or program management, with at least 3 years managing delivery for platform engineering, infrastructure, or AI/ML teams.
  • Deep fluency in agile delivery — you have run sprint-based delivery for engineering teams (not just attended stand-ups). Scrum, Kanban, or hybrid — you adapt the methodology to the team, not the other way around.
  • Technical depth to earn engineering trust — you don't need to write code, but you understand distributed systems, APIs, CI/CD pipelines, cloud infrastructure, and AI/ML workloads well enough to challenge estimates, spot architectural risks, and ask the right questions in design reviews.
  • Proven experience managing delivery across multiple squads or workstreams with different cadences, stakeholders, and delivery models (platform build vs. time-boxed engagements).
  • Track record of managing augmented / vendor resources — onboarding, performance management, contract coordination, and building a cohesive team culture across a mixed permanent-and-vendor workforce.
  • Experience coordinating with enterprise functions (cybersecurity, infrastructure, IAM, data engineering) — you know how to navigate large organisations, track cross-team dependencies, and escalate without burning bridges.
  • Strong JIRA / delivery tooling expertise — you structure boards, craft queries, build dashboards, and maintain backlog health. The board reflects reality, not aspiration.
  • Excellent communication — you write crisp status reports, run efficient meetings, present to senior leadership without hiding behind slides, and give engineers honest, direct feedback.
  • Experience scaling a team — you have managed delivery through a growth phase (new hires, squad formation, process evolution) and understand the operational complexity of doubling a team.

• Nice to Have:
  • Experience in AI/ML or agentic systems delivery — you understand the unique planning challenges: non-deterministic scope, evaluation-driven development, rapid framework evolution, and the "research vs. engineering" tension.
  • Background in financial services, sovereign wealth, or regulated industries — you understand governance, review panels, and compliance requirements without letting them become bottlenecks.
  • Familiarity with OKR frameworks and experience translating strategic objectives into measurable engineering milestones.
  • Experience with design review and architecture governance processes — scheduling, tracking decisions, and ensuring follow-through on ADRs (Architecture Decision Records).
  • Exposure to SRE practices (SLOs, error budgets, incident management, on-call rotations) — enough to coordinate delivery alongside an SRE squad.
  • PMP, PSM, or SAFe certification — useful but not required. We care about proven delivery outcomes, not credentials.

• Mindset & Working Style:
  • Delivery partner, not process police — You bring structure to help engineers ship, not bureaucracy to slow them down. You adjust the process to the team's maturity and the problem at hand.
  • Honest and direct — You surface bad news early. You tell leadership what they need to hear, not what they want to hear. You give engineers clear, actionable feedback.
  • Operationally relentless — You follow up. Action items don't go stale. Dependencies don't get forgotten. Risks don't sit in a register unaddressed. You close loops.
  • Technically curious — You invest in understanding the AI platform deeply enough to have informed opinions. You attend design reviews because you want to, not because you have to
  • People-aware — You read the room. You know when a squad is struggling, when an engineer is overloaded, and when a vendor needs clearer direction. You act on it before it becomes a delivery problem.
  • Comfortable with ambiguity — The AI landscape is evolving fast. Plans change, priorities shift, and scope emerges. You adapt without losing sight of commitments.

Work at the Point of Impact
We need to be forward-looking to attract the right people to help us become the Leading Global Long-term Investor. Join our ambitious, agile, and diverse teams - be empowered to push boundaries and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guides us in how we make our day-to-day decisions. We strive to inspire. To make an impact.     

Flexibility at GIC
At GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection.  At the same time, we believe that flexibility allows us to do our best work and be our best selves.  Thus, our teams come into the office four days per week to harness the benefits of in-person collaboration, but have the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise.

GIC is an equal opportunity employer 
GIC is an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Learn more about our Technology Group here: 
https://gic.careers/group/technology-group/