AVP/VP, Product Manager (AI Products), Investment Insights Group at GIC Investment
Singapore, , Singapore -
Full Time


Start Date

Immediate

Expiry Date

08 Nov, 25

Salary

0.0

Posted On

09 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

Location:Singapore, SG
Job Function: Investment Insights Group
Job Type: Permanent
Req ID: 16651
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.

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Responsibilities

WHAT IMPACT CAN YOU MAKE IN THIS ROLE?

As an AI Product Manager at GIC, you will play a pivotal role in refining and executing GIC’s AI strategy. You will work closely with leadership to oversee the development and deployment of Generative AI (GenAI) and Machine Learning products and platforms, ensuring they align with our business goals and needs to drive significant business impact and improve investment decision making. You will work closely with leadership to execute our enterprise AI strategy, enabling GIC to harness AI capabilities effectively. Additionally, you will collaborate cross-functionally with data scientists, engineers, and stakeholders to define product features and manage the AI product lifecycle from inception to deployment and beyond.

WHAT WILL YOU DO AS A PRODUCT MANAGER (AI PRODUCTS)?

  • Define and execute enterprise AI strategy for GIC through a clear understanding of the market, customer needs, and business goals
  • Engage with stakeholders to gather and prioritize product requirements. Communicate product updates, progress, and challenges effectively, managing expectations and addressing concerns
  • Define AI product requirements by translating business goals into actionable product requirements through close collaboration with stakeholders, data scientists, and engineers
  • Manage the entire product lifecycle, from prioritization, planning and development, to deployment and updates through close partnership with engineering, data science, cybersecurity, and business
  • Conduct in-depth market analysis to identify trends and opportunities relevant to an institutional investor like GIC
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