AI and Analytic Product Manager ☆

Responsibilities

The AI & Analytics Product Manager will drive the roadmap and execution of AI and Agentic AI initiatives across APAC, collaborating with business and IT stakeholders and ensuring alignment with DHL’s AI governance.

• Lead the strategic roadmap and execution of the AI/Agentic AI portfolio across APAC, aligning with business goals and transformation priorities.
• Act as 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.
• Collaborate with technical teams and operation partners to translate business needs into AI-enabled solutions.
• Manage the full lifecycle of AI projects, including 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.
• 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.
• 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

Comprehensive understanding of logistics and supply chain industry.

• Experience navigating complex, global organizational structures.
• 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: ability to work 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.