Material Supply Engineering & AI Solutions

• 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.

& 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