AI and Analytic Product Manager

About us

When you work with us, you’ll find that we deliver results; without compromising on respect. We value each other’s differences while recognising individual strength.

We are the world’s leading contract logistics company. We create competitive advantage for our customers through customized warehousing and transportation services. We combine our global scale with local knowledge and sector expertise.

At DHL Supply Chain (DSC), there's more to a role than the work we do. Whatever your role is, we never forget that you make us who we are. We work hard to make sure a career with DHL is as satisfying and successful as it can be.

Join a supportive work environment where you’ll have the tools and training you need to grow and succeed.

DHL Supply Chain is Great Place To Work® certified.

Responsibilities

Preferred job location: Malaysia, India, Indonesia, Philippines, Thailand

The AI & Analytics Product manager is a strategic role responsible for driving the roadmap and execution of AI and Agentic AI initiatives across the APAC region. This role serves as the primary contact for AI-related project requests and collaborates closely with business and IT stakeholders to clarify use cases, assess business value, drive projects, and ensure alignment with DHL’s AI governance and ethical standards.

A strong command of AI models and tools is essential to recommend the most effective solution to business challenges, and the role requires the ability to conduct prototyping and be hands-on when needed.
The Product Manager will interact regularly with Business stakeholders, providing strategic insights, updates, and recommendations to support decision-making and transformation goals.

The role oversees the full lifecycle of AI projects—from scoping and planning to delivery and enhancement—while fostering cross-regional partnerships to accelerate innovation and share best practices.

Main responsibilities:

Strategic Roadmap:

• Lead the strategic roadmap and execution of the AI/Agentic AI portfolio across APAC, ensuring alignment with business goals and transformation priorities.
• Act as one of the primary contact for AI initiative requests, managing intake, prioritization, and visibility across the region.
• Build and maintain strategic partnerships with other regions to share return on experience and accelerate innovation.

Project Delivery & AI Literacy:

• Collaborate with technical teams and Operation partners to translate business needs into AI-enabled solutions.
• Oversee the full lifecycle of AI projects (including Agentic AI), covering scoping, planning, resource allocation, testing, risk management, and delivery.
• Demonstrate strong technical fluency in AI/ML fundamentals, including LLMs, agent orchestration, and enterprise deployment.
• Ensure compliance with internal AI governance, data privacy, and ethical standards.
• Monitor deployed solutions, gather feedback, and lead continuous improvement.

Innovation Management

• Evaluate and manage relationships with external AI solution providers, ensuring quality and strategic fit.
• Conduct hands-on prototyping and experimentation to validate solution approaches.
• Track emerging AI trends and identify opportunities for experimentation and pilots.
• Contribute to best practices and reusable frameworks for AI delivery.

Stakeholder Engagement & Change Enablement

• Identify and engage stakeholders across business, IT, and vendor teams.
• Lead change management, including communication, training, and adoption strategies.
• Provide strategic insights to IT and APAC Leadership team
• Functional management of cross-functional team members depending on the use case.

Requirements

Divisional Experience

• Comprehensive understanding of logistics and supply chain industry.
• Experience navigating complex, global organizational structures.

Functional Experience

• Strong AI/ML knowledge and ability to recommend tailored models and tools.
• Proven project management experience with large-scale digital or AI initiatives.
• Ability to translate business needs into technical specifications.
• Excellent communication and stakeholder management, including C-level.
• Hands-on prototyping and validation experience.
• Change leadership capability.
• Curious, pragmatic, and resilient.

Geographical Experience

• Experience working across functions, countries, and regions.
• Ability to engage in physical and virtual environments.

Education / Qualifications / Certifications

• Master’s degree or higher in Computer Science, Data Science, Engineering, or related field.
• Minimum 6 years in product or project management, including 4+ in AI & analytics.
• Expertise in LLMs, agentic AI, and enterprise ML tools.
• PMP, Agile or AI certifications are a strong advantage.