Predictive Planning & Inventory Supervisor

Qualifications

• Experience: 5–7+ years of progressive experience in material purchasing, materials management, production planning, or supply chain analysis within a manufacturing environment, including 1–3 years in a direct supervisory, team lead, or supervisory capacity.
• Industry Background: Previous experience with a steel mill, metal service center, fabrication plant, or heavy manufacturing environment preferred.
• Leadership & Supervisory Skills: Proven capability to lead, mentor, and direct small teams, manage conflict, set performance goals, and drive departmental alignment.
• Technical Proficiency : Proficiency with ERP systems and Google Suite / Microsoft Excel. Demonstrated capability in data analysis, dashboard creation, and working with complex datasets to drive decision-making. Exposure to or interest in machine learning, AI-driven demand forecasting models, and workflow automation is a strong plus.
• Proficiency with ERP systems and Google Suite / Microsoft Excel.
• Demonstrated capability in data analysis, dashboard creation, and working with complex datasets to drive decision-making.
• Exposure to or interest in machine learning, AI-driven demand forecasting models, and workflow automation is a strong plus.
• Analytical & Problem-Solving Skills: Strong analytical capabilities with a continuous improvement mindset; proven track record of root cause analysis, inventory reconciliation, and process optimization.
• Communication & Collaboration: Effectively across cross-functional teams (Sales, Operations, Engineering, and Project Management).
• Project & Material Execution: Proven ability to manage project material flows, supplier tracking, and maintain compliance with quality, safety, and environmental policies.
• Self-Management: Highly organized with strong time-management skills and the ability to independently prioritize workload and deliver accurate reports under tight deadlines.
• Artificial Intelligence: Proficient in leveraging Artificial Intelligence to build custom AI assistants (Gems), analyze complex datasets, and forecast business trends.