Project Manager (Senior), AI

LDC is pursuing an exciting digital journey, driving industrialization of IT delivery, and innovating with cutting-edge technology (Cloud, AI and Machine Learning, Agile DevOps/ SecOps, data mesh, RPA, research repositories).

We are at the forefront of integrating cutting-edge Artificial Intelligence (AI) and Generative AI (Gen AI) technologies to deliver innovative solutions across our product lines. To strengthen our capabilities, we are seeking a highly skilled and experienced Project Manager (Senior), AI to join our AI Hub in Singapore.

This critical role will lead the regional intake and management of AI use cases, drive adoption across the Asia region, and coordinate the AI solution portfolio delivered through both low-code platforms and pro-code development via our AI Factory. The role also includes managing strategic relationships with external AI vendors and internal delivery teams.

The successful candidate will work closely with business stakeholders, technical teams, and partner organizations to enable scalable AI solutions that transform enterprise processes and services.

Key Responsibilities

AI Use Case Intake & Portfolio Management:

• Lead the intake, evaluation, and prioritization of AI use cases across the Asia region.
• Manage the AI project portfolio lifecycle — from ideation through delivery and value realization.
• Ensure alignment with regional strategic priorities and business value generation.

AI Deployment and Enablement:

• Oversee the deployment of AI agents and automation solutions using a combination of low-code tools (e.g., Microsoft Copilot Studio, UiPath, Power Platform) and pro-code development from the AI Factory.
• Identify process augmentation opportunities and enable technical implementation through appropriate delivery channels.

Workflow Integration:

• Embed AI into existing business workflows and service models to enhance responsiveness and operational efficiency.
• Ensure seamless integration with IT systems and business applications.

Regional Adoption & Change Management:

• Drive regional adoption of AI solutions through engagement, training, and support.
• Lead change management efforts to ensure organizational readiness and user enablement.
• Promote a data- and AI-literate culture throughout the region.

Collaboration with Citizen Developers & AI Factory:

• Support citizen developers using low-code/no-code platforms.
• Collaborate with the AI Factory engineering team to deliver complex, scalable AI solutions.

Vendor & Partner Management:

• Manage relationships with external AI vendors, solution providers, and technology partners.
• Ensure alignment on deliverables, quality standards, and timelines.

Monitoring and Optimization:

• Monitor AI solution performance, usage, and impact using analytics and KPIs.
• Drive continuous improvement and iteration based on feedback and business insights.