Logistics Optimization Manager: Data-Driven Delivery

HungerStation | هنقرستيشن; Riyadh; On-site; SAR 150,000 - 210,000; Full time

Job summary

HungerStation in Riyadh is seeking a qualified logistics and operations professional to lead optimization projects, governance practices, and day-to-day operations. You will be responsible for improving delivery times, accuracy of estimates, and rider management to ensure high service levels.

The role requires 3–4 years of relevant experience, a Bachelor’s degree (Master’s preferred), and strong Excel/analytical skills.

Qualifications

• Bachelor’s Degree is required.
• Master’s degree is preferred.
• 3–4 years of relevant experience in logistics/operations.
• Basic knowledge of supply chain and finance.
• Great Excel and analytical skills.
• Decision making capability.
• Excellent communication skills.

Responsibilities

• Optimize logistics to reduce delivery times across multiple stages and KPIs.
• Improve on-time deliveries by enhancing estimations and reducing outliers.
• Refine dispatch algorithms to shorten delivery times and cut early cancellations.
• Analyze customer delivery experience to improve NPS and service quality.
• Optimize stacked orders to save costs while maintaining customer experience.
• Lead initiatives such as recruiting freelance riders to expand HS fleet.
• Ensure daily operations run smoothly and reports meet required standards.
• Manage and guide team members; set performance objectives and provide feedback.

Skills

Supply chain knowledge

Finance basics

Excel skills

Decision making

Communication skills

Education

Bachelor’s Degree

Master’s degree (preferred)

Job description

HungerStation in Riyadh is seeking a qualified logistics and operations professional to lead optimization projects, governance practices, and day-to-day operations. You will be responsible for improving delivery times, accuracy of estimates, and rider management to ensure high service levels.

The role requires 3–4 years of relevant experience, a Bachelor’s degree (Master’s preferred), and strong Excel/analytical skills.