Manager MP&L - AI and Digital Transformation

Job description

This Manager MP&L - AI and Digital Transformation role will play a strategic and transformational leadership role responsible for pioneering the next gen capabilities identifying opportunities to improve Planning, Material Fulfilment, Logistics, Material flow & inventory pillars through innovative thinking, intelligent automation and scalable AI solutions that deliver measurable business value. The candidate will bridge the gap between complex supply chain operations and advanced technology, transforming real-time data into predictive, self-healing, and highly optimized material planning and logistics networks.

Responsibilities

Key Responsibilities

Develop and execute the AI and Innovation roadmap for MP&L department aligned with enterprise objectives. Identify, evaluate and implement high-impact projects where AI/ML, Generative AI, Computer Vision, IoT, and Digital Twins can optimize inventory levels, Improve BOM Health, reduce freight costs, mitigate supplier risks, and streamline material handling and improving operational performance. Establish metrics and key performance indicators (KPIs) to evaluate the business value, ROI, and operational efficiency gains of deployed AI solutions.

Champion innovation by evaluating emerging technologies, piloting new concepts, and scaling successful solutions across the organization. Develop predictive and prescriptive analytics for demand forecasting, inventory optimization, material shortage prediction, supplier risk management, and logistics optimization. Collaborate with Supply Chain, Purchasing, PD, Manufacturing, Quality, Finance IT, GDIA and external partners to deliver innovative and scalable solutions.

Drive utilizing the governance forums to monitor innovation initiatives and AI solutions, track business benefits and drive continuous improvement. Foster an innovation culture by promoting idea generation, facilitating innovation workshops, sharing best practices, and building AI and digital capabilities across the function. Serve as the MP&L liaison to external innovation ecosystems, including tech startups, university research labs, supply chain / logistics software vendors, and industry consortiums.

Drive change management and training initiatives to foster a data-driven, innovation-first culture within the global MP&L organization. Apply Lean / Six Sigma principles alongside digital tools to eliminate waste, lower carbon footprints (sustainable logistics), and enhance supply chain resilience.

Technical Skills & Knowledge AI & Analytics

Practical understanding of machine learning algorithms (regression, classification, clustering, time-series forecasting), optimization modelling, deep learning, computer vision, and Generative AI applications.

Supply Chain Systems

Expertise in modern ERP systems (SAP S/4HANA), Warehouse Management Systems (WMS), Transportation Management Systems (TMS), and Material Requirements Planning (MRP).

Data & Cloud Platforms

Familiarity with cloud environments (AWS, Azure, or GCP), data visualization tools (Tableau, Power BI), and data processing architectures (SQL, Python/R capabilities).

Emerging Tech

Exposure to IoT sensors, RFID tracking, Digital Twin simulation tools, Autonomous Mobile Robots (AMRs), and edge AI. Strategic Thinking, Project Management, Stakeholder Management, Change Leadership, and Cross-functional Collaboration Soft Skills & Leadership Competencies Strategic Thinking: Ability to translate complex operational challenges into actionable AI technical roadmaps.

Change Management

Proven ability to influence stakeholders at all levels, from plant floor operators to executive leadership.

Agile Delivery

Experience working in Agile environments for software and product development.

Communication

Exceptional storytelling and executive presentation skills with the ability to articulate technical AI concepts in clear business terms.

Qualifications

Qualifications & Experience

Bachelor's degree in Engineering, Supply Chain, Operations research, Computer Science, Data Analytics, Information Technology, or a related discipline; Master's degree preferred. 8–12 years of progressive experience in Supply Chain, Material Planning and Logistics areas. Demonstrated experience delivering AI, analytics, automation, or digital transformation initiatives in a manufacturing or automotive environment. Proven track record of taking AI/ML or advanced analytics projects from concept to production with measurable business impact Preferred Certifications (Plus) Certified in Production and Inventory Management or Certified Supply Chain Professional.

Project Management Professional (PMP). Lean Six Sigma Green/Black Belt certification. AI/Data Science professional certifications (e.g., Azure AI Engineer, AWS Machine Learning Specialty).