Head of Regional Logistics Ops & Optimization

Delivery Hero; Mominabad Town; Hybrid; PKR 2,000,000 - 3,000,000; Full time

Job summary

foodpanda, part of the Delivery Hero Group, is seeking a strategic Lead, Logistics Operations to guide a regional team and optimize rider supply with a focus on cost efficiency and service levels. You will bridge data strategy with field execution across diverse markets.

You will manage forecasting, staffing frameworks, and process improvements while collaborating with Finance, Product, and Local Logistics Leaders to drive fleet performance at scale.

Qualifications

• 5+ years in high-growth tech, logistics, strategy consulting, or operations management.
• Experience in gig-economy, marketplace dynamics, or logistics is a strong plus.
• Leadership experience (1–2+ years) with direct reports or cross-functional teams.
• Educational background in STEM, Economics, Business, or related quantitative field.

Responsibilities

• Lead and mentor a team of Logistics Operations Specialists to drive performance.
• Own regional logistics performance, monitor trends, and improve delivery times and customer experience.
• Oversee forecasting, rider staffing, and shift planning for optimal fleet coverage and cost efficiency.
• Drive continuous improvement through automation and data-driven decision making, collaborating with product and tech teams.

Skills

Strategic thinking

Analytical mindset

Team leadership

Stakeholder management

Communication

Education

University degree in STEM/ Economics/ Business

Tools

SQL

Excel

Looker

AI productivity tools

Job description

foodpanda, part of the Delivery Hero Group, is seeking a strategic Lead, Logistics Operations to guide a regional team and optimize rider supply with a focus on cost efficiency and service levels. You will bridge data strategy with field execution across diverse markets.

You will manage forecasting, staffing frameworks, and process improvements while collaborating with Finance, Product, and Local Logistics Leaders to drive fleet performance at scale.