Project Manager AI (Senior)

LOUIS DREYFUS COMPANY ASIA PTE. LTD.; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

A leading agricultural merchant and processor is seeking an AI Project Manager to lead AI initiatives across the Asia region. The role involves managing AI use cases, deploying automation solutions, and driving regional adoption. The ideal candidate should have a Bachelor's degree and at least 3 years of experience in AI or digital transformation programs, along with strong skills in process mapping and stakeholder management.

Qualifications

• Minimum 3 years of experience managing AI or digital transformation programs.
• Demonstrated knowledge of commodity or energy trading processes.
• Experience in regional or global environments.

Responsibilities

• Lead intake and prioritization of AI use cases.
• Manage the AI project portfolio lifecycle.
• Drive regional adoption of AI solutions.

Skills

Proficiency with AI and automation tools

Strong grasp of business process mapping

Excellent interpersonal and communication skills

Strong analytical mindset

Education

Bachelor’s degree in Computer Science or related field

Tools

Microsoft Copilot Studio

UiPath

Power Platform

Job description

Overview / Brief

Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and eight platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 17,000 people globally.

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.

Education:

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.

Experience:

• Minimum 3 years of experience managing AI, automation, or digital transformation programs.
• Demonstrated knowledge of commodity or energy trading processes, systems, or business models.
• Experience working with both business users and technical delivery teams in a regional or global environment

Skills:

• Proficiency with AI and automation tools (Copilot Studio, UiPath, Power Platform) and experience with enterprise-grade software development.
• Strong grasp of business process mapping, change management, and agile delivery.
• Capable of managing intake, prioritization, and tracking of multiple initiatives concurrently.

Knowledge and Industry Insight:

• Solid understanding of trading workflows, risk, analytics, and data management in commodity or energy sectors.
• Up-to-date knowledge of AI/Gen AI industry trends and best practices.
• Familiarity with IT architecture and integration in trading environments.

Other Skills:

• Excellent interpersonal, communication, and stakeholder management abilities.
• Strong analytical mindset and problem-solving capabilities.
• Ability to work independently and drive initiatives across multiple countries.