Find & Apply For Production Supervisor Jobs in Waco, Texas

Refresco Beverages US Inc is seeking a Night Warehouse Supervisor to lead warehouse operations in a fast-paced beverage manufacturing facility. This role oversees night shift teams responsible for receiving, storage, picking, and loading finished goods while ensuring accuracy, safety, and productivity. The supervisor will manage staffing and scheduling, monitor KPIs, enforce OSHA and company safety standards, and coordinate with production, quality, and transportation. Ideal candidates bring warehouse leadership experience, strong communication, and a continuous improvement mindset in a manufacturing or distribution setting. Responsibilities Supervise night shift warehouse staff, including assigning work, coaching, and performance feedback. Oversee receiving, storage, picking, staging, and loading of finished goods and materials. Ensure inventory accuracy through cycle counts, proper documentation, and adherence to WMS processes. Maintain a safe work environment by enforcing OSHA and company safety policies and conducting regular inspections. Plan labor and staffing for the night shift, including scheduling, overtime management, and task prioritization. Monitor KPIs such as productivity, accuracy, and on-time loading; implement corrective actions as needed. Coordinate with production, quality, and transportation to meet shipping schedules and customer requirements. Drive continuous improvement in warehouse processes using lean principles and best practices. Ensure proper operation, inspection, and care of forklifts and material handling equipment. Train team members on SOPs, safety procedures, and use of warehouse systems and equipment. Required Skills Warehouse operations management Night shift leadership Inventory control Forklift and material handling equipment operation WMS/ERP systems (e.g., SAP, Oracle) Safety and OSHA compliance Staff scheduling and labor planning Lean/continuous improvement (5 S, Kaizen) Performance tracking and reporting (KPIs) Microsoft Excel and basic data analysis