Manager MP&L - AI and Digital Transformation

Lead development and execution of AI and digital transformation roadmap for Material Planning & Logistics (MP&L), focusing on innovative AI/ML, IoT, and automation to optimize supply chain functions.

Own identification, implementation, and scaling of AI-driven projects improving inventory, freight costs, supplier risk, and operational efficiency with measurable ROI.

Collaborate cross-functionally and externally to deliver predictive and prescriptive analytics, drive change management, and foster an innovation culture within the global MP&L organization.

Bachelor's degree in Engineering, Supply Chain, Operations Research, Computer Science, Data Analytics, IT, or related field; Master's preferred.

8–12 years of progressive experience in Supply Chain, Material Planning, and Logistics with proven delivery of AI/analytics/digital transformation in manufacturing or automotive sectors.

Practical expertise with AI/ML algorithms, ERP systems (SAP S/4HANA), Warehouse and Transportation Management Systems, and cloud/data platforms (AWS, Azure, GCP, SQL, Python/R).

Work Experience Required: 8–12 years in relevant domains; Notice period: Not explicitly mentioned in the JD.

Experienced leader bridging supply chain operations and advanced AI technologies, capable of translating complex challenges into actionable AI roadmaps.

Proven capability driving AI/ML projects from concept to production with measurable business impact in manufacturing or automotive environments.

Skilled in cross-functional collaboration, strategic project management, and stakeholder influence at multiple organizational levels.