Digital Transformation & AI Adoption, AVP

Temasek International Pte. Ltd.; Singapore; On-site; SGD 162,000 - 198,000; Full time

Job summary

Temasek International Pte. Ltd. is seeking a leader to drive Enterprise AI adoption, overseeing end-to-end change management, stakeholder mapping, and sustained adoption tracking. You’ll design campaigns and build an AI champion network to accelerate value realization across investment and operations units.

The role requires guiding cross-functional teams, partnering with senior leaders for sponsorship, and removing blockers to ensure rapid, responsible AI adoption with measurable impact.

Qualifications

• Structured change management approaches applied to enterprise AI deployments.
• Role-based learning journeys for different employee personas and levels.
• Internal communications to drive AI fluency across the org.
• Mechanisms for collecting actionable feedback to improve programmes.
• Designing AI change initiatives addressing agentic behaviours and human oversight.

Responsibilities

• Own end-to-end change management for major AI capability deployments from mapping to adoption tracking.
• Design and execute adoption campaigns that move employees through awareness to embedded habits.
• Build and manage a network of AI champions across business units as peer enablement.
• Partner with senior leadership to secure sponsorship and align change programmes with business priorities.
• Lead cross-functional groups to remove blockers such as tool friction and policy gaps.

Skills

Change management

Stakeholder mapping

Adoption campaigns

AI adoption

Cross-functional leadership

Executive sponsorship

Communications strategy

Feedback collection

Job description

Enterprise AI adoption leadership

• Own end-to-end change management for major AI capability deployments - from initial stakeholder mapping and impact assessment through to sustained adoption tracking and continuous improvement.
• Design and execute adoption campaigns that move employee populations through awareness, activation, and embedded habit formation, with clear milestones and accountability at each stage.
• Build and manage a network of AI champions embedded within business units - investment teams, operations, finance, legal, and HR - who serve as peer advocates and first-line enablement support.
• Partner with senior leadership across Technology, Investment, and Operations to secure visible sponsorship for AI adoption initiatives and align change programmes with business unit priorities.
• Lead cross-functional working groups to identify and remove systemic blockers to adoption - whether tool friction, policy gaps, cultural resistance, or insufficient enablement support.

Change management depth

• Apply structured change management methodologies adapted to the fast-moving context of enterprise AI deployment, where tooling and use cases evolve rapidly.
• Design role-based AI learning journeys tailored to distinct employee personas - investment professionals, operations staff, and functional specialists and also across levels (Associate, VP, Director, MD) - reflecting the different AI use cases, risk profiles, and workflow contexts each group faces.
• Develop a cohesive internal communications strategy for AI fluency: including executive briefings, team-level messaging, intranet content, and showcase events that maintain momentum and surface success stories.
• Build and operate a structured feedback collection mechanism - surveys, focus groups, embedded team sessions — that generates actionable insight on adoption barriers and programme effectiveness, feeding directly into programme iteration.
• In the agentic AI era specifically, design change programmes that address the new behaviours required: how to delegate to AI agents appropriately, how to review and verify agentic outputs, and how to maintain meaningful human oversight as AI takes on more complex, multi-step tasks.