Find & Apply For Supply Chain / Logistics Manager Jobs In North Carolina
Supply Chain / Logistics Manager jobs in North Carolina involve managing inventory, coordinating transport, and overseeing distribution operations. These professionals ensure products move efficiently from suppliers to customers. Key tasks include optimizing delivery routes, managing staff, and liaising with vendors to maintain supply flow. Below you can find different Supply Chain / Logistics Manager positions in North Carolina.
Latest Jobs
Explore the thriving Supply Chain/Logistics Manager job market in North Carolina. Find your next opportunity in this fast-paced and rewarding industry today.
North Carolina Supply Chain / Logistics Manager Industry Trends & Salary Information
Supply Chain / Logistics Managers in North Carolina oversee the coordination and optimization of the supply chain process to ensure efficiency and cost-effectiveness. - Entry-level Supply Chain Analyst salaries range from $45,000 to $55,000 per year - Mid-career Logistics Coordinator salaries range from $55,000 to $70,000 per year - Senior-level Supply Chain Manager salaries range from $75,000 to $100,000 per year The role of Supply Chain / Logistics Manager in North Carolina has a rich history dating back to the industrial revolution when the need for efficient transportation and distribution systems became evident. Over the years, the position has evolved to encompass a broader range of responsibilities, including inventory management, procurement, and vendor relations. In recent years, the Supply Chain / Logistics Manager role in North Carolina has seen significant evolution due to advancements in technology, globalization, and sustainability practices. Automation, data analytics, and supply chain visibility tools have become essential for streamlining operations and improving decision-making processes. Current trends in the Supply Chain / Logistics Manager field in North Carolina include a focus on sustainability and ethical sourcing practices, as well as the integration of artificial intelligence and machine learning technologies to enhance forecasting and optimize inventory management. Additionally, there is a growing emphasis on supply chain resilience and risk management in response to global disruptions such as the COVID-19 pandemic.
