Supply Chain Expert at Runola Nigeria Limited

Job Overview

Location
Lagos, Lagos
Job Type
Full Time
Date Posted
5 hours ago

Additional Details

Job ID
130415
Job Views
23

Job Description






Job Summary




  • The Supply Chain Expert is responsible for overseeing and optimizing the end-to-end supply chain operations of the organization.

  • This includes procurement, logistics, inventory management, demand forecasting, supplier relationship management, and ensuring cost-effective, timely, and high-quality delivery of goods and services.



Key Responsibilities




  • Develop and implement supply chain strategies aligned with business goals.

  • Analyze supply chain data and performance to identify areas for improvement.

  • Oversee procurement activities, vendor selection, and contract negotiations.

  • Manage inventory levels to ensure optimal stock without over/understocking.

  • Coordinate logistics activities including shipping, warehousing, and distribution.

  • Collaborate with cross-functional teams (Production, Sales, Finance) to align supply and demand planning.

  • Monitor market trends and supplier performance to mitigate supply risks.

  • Drive sustainability and cost-saving initiatives across the supply chain.



Qualifications and Skills




  • Bachelor's Degree in Supply Chain Management, Logistics, Business Administration, or related field. A Master’s Degree or professional certification (e.g., CSCP, CPIM, CIPS) is a plus.

  • Minimum of 2 – 5years of experience in supply chain, logistics, or procurement roles.

  • Strong analytical and problem-solving skills.

  • Experience with ERP systems (e.g., SAP, Oracle, Microsoft Dynamics).

  • Excellent negotiation, communication, and interpersonal skills.

  • Ability to work under pressure and handle multiple priorities.

  • Strong leadership and project management abilities.



Key Competencies:




  • Strategic Thinking

  • Operational Excellence

  • Supplier/Vendor Management

  • Risk Management

  • Cost Control and Budgeting

  • Data Analysis and Forecasting

  • Process Optimization.



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