• Strategic AI integration: You identify and assess opportunities for AI applications across our entire supply chain (from demand forecasting and inventory optimization to transport control) and develop roadmaps for their implementation. • Data-driven optimization: You use AI tools and models to analyze complex logistics data, generate more accurate forecasts (e.g., predictive inventory, demand forecasting), dynamically optimize transport routes, and detect potential supply chain risks early. • Process innovation: You challenge existing logistics processes and redesign them using AI and automation to significantly increase efficiency, transparency and sustainability (e.g., CO2 reduction). • System orchestration: You work closely with IT, data science and operations teams to implement and validate AI solutions and ensure their smooth operation. • You manage interfaces between different systems (ERP, WMS, TMS, AI platforms). • Development of digital twins: You drive the creation of digital replicas of our supply chain to simulate scenarios, run stress tests and prepare strategic decisions based on data. • Knowledge transfer & change management: You act as our internal ambassador for AI in logistics. You explain complex topics clearly and support colleagues in adopting and using the new data-driven processes. • Risk and resilience management: You use AI to proactively identify vulnerabilities in the supply chain and develop strategies to increase resilience against disruptions.