Key Responsibilities • SAP Process Support: Assist in managing material master data and monitoring procurement workflows within SAP S/4HANA. • AI Implementation: Identify opportunities for automation or predictive analytics within the material lifecycle (e.g., lead-time prediction, demand forecasting). • Data Engineering: Extract and structure historical supply chain data from SAP for use in AI models. • Stakeholder Reporting: Create dashboards (Power BI) to visualize AI-driven insights and SAP performance metrics. • Documentation: Map "As-Is" processes and document "To-Be" AI-integrated workflows. Requirements & Qualifications Education • Currently pursuing a Bachelor’s or Master’s degree in Industrial Engineering, Supply Chain Management, Data Science, Computer Science, or a related technical field. Technical Skills • ERP Knowledge: Willing to learn the basic knowledge of SAP modules (MM, PP, or SD preferred). • Data Analysis: Experience with SQL for data extraction and Excel for advanced modeling. • AI Interest Soft Skills • Analytical Mindset: Ability to break down complex supply chain problems into logical data points. • Adaptability: Comfortable working in an evolving landscape where AI meets legacy systems. • Fluent English language