Logistics and Operations Manager

Our client is a leading firm dealing in the Oil and gas sector & Energy Commodity Trading. With a commitment to excellence and innovation, it strives to deliver high-quality products/services while fostering a positive work environment for its employees. In continuation of its expansion and growth, the company is seeking a dynamic individual as the Logistics and Operations Manager.



Job Summary:

Our client seeks a highly experienced Logistics and Operations Manager with a proven track record in implementing technology-driven supply chain solutions. The ideal candidate will be responsible for overseeing and optimizing AI-enhanced logistics and supply chain operations for crude oil, refined products, and gas, ensuring cost-effective, timely, and compliant delivery of products to clients across Africa. The role demands versatility in leveraging predictive analytics, digital twins, and AI-driven logistics platforms while coordinating with multiple stakeholders and leading operational teams to meet the company's business objectives in an increasingly competitive market.



Key Responsibilities:

Originate and execute profitable oil and gas trading deals across West Africa, including spot and term contracts.
Manage and optimize logistics operations for the transportation, storage, and distribution of oil, gas, and refined products.
Implement and manage AI-powered logistics optimization systems to improve route planning, inventory forecasting, and asset utilization across the supply chain.
Develop and oversee predictive maintenance programs for logistics assets using machine learning algorithms and IoT sensor data.
Lead digital transformation initiatives in logistics operations, incorporating blockchain for transparent supply chain tracking and smart contracts.
Utilize big data analytics and AI to identify patterns in operational data that can inform strategic decisions and risk management.
Deploy AI-based demand forecasting models to optimize inventory levels and reduce carrying costs.
Implement computer vision and AI solutions for terminal operations, quality control, and safety monitoring.
Oversee the integration of autonomous vehicle technologies in appropriate logistics channels.
Establish data governance frameworks to ensure high-quality data inputs for AI-based decision support tools.
Collaborate with IT teams to implement cybersecurity measures for protecting sensitive logistics data and systems.
Coordinate with third-party logistics providers, fleet management, port operators, and customs authorities to ensure on-time delivery and minimize downtime.
Oversee the entire supply chain process, from product procurement to final delivery, ensuring operational efficiency and cost-effectiveness.
Develop and maintain robust operational plans and schedules for the safe handling, transportation, and delivery of bulk oil & gas products.
Monitor and manage the end-to-end logistics chain, including inventory management, vessel chartering, truck/rail movements, and pipeline operations.
Ensure compliance with local regulations, health & safety standards, and environmental guidelines in all logistical and operational activities.
Analyze and mitigate supply chain risks (e.g., geopolitical factors, price volatility, weather conditions) and implement contingency plans.
Lead and manage a team of logistics and operations professionals, fostering a culture of collaboration, accountability, and continuous improvement.
Collaborate with procurement, finance, and legal teams to ensure that all logistics contracts, terms, and financial models are aligned with the business goals.
Conduct performance assessments, cost control, and process improvements to increase operational efficiency and reduce costs.
Generate regular reports and key performance indicators (KPIs) to track operational performance, identify bottlenecks, and recommend process improvements.


Key Requirements

Bachelor's degree in Supply Chain Management, Logistics, Engineering, Data Science, or a related field. A master's degree or professional certifications in AI applications for supply chain is highly desirable
8-12 years of experience in logistics and operations management, with at least 5 years in the Oil & Gas sectorand demonstrable experience implementing technological solutions
Proven experience in designing and implementing AI-driven logistics solutions, including predictive analytics, optimization algorithms, and automated planning systems
Strong understanding of machine learning applications in supply chain management, including demand forecasting, anomaly detection, and optimization algorithms
Experience with IoT implementations in logistics operations, including sensor networks, telematics, and real-time tracking systems