Global Fulfillment Lead

Department: Operations

Location: EMEA-Israel

Description

The Global Fulfillment Lead acts as a senior individual contributor responsible for analyzing and improving global fulfillment performance through data-driven insights and business intelligence. The role focuses on identifying inefficiencies, tracking key operational & Logistics metrics, and developing actionable recommendations to improve service, cost, and efficiency.

It combines hands-on analytics with cross-functional collaboration to support day-to-day operations and strategic decision-making. The candidate will build dashboards, analyze large datasets, and present insights to leadership to drive continuous improvement across fulfillment and logistics operations.

We are looking for a candidate with a deep understanding of business operations and Logistics, strong analytical capabilities, and a proven ability to implement process improvements.

Key Responsibilities

• Act as a hands-on, data-driven expert in global fulfillment and logistics performance.
• Design and maintain detailed reports and BI dashboards to monitor KPIs and Global Fulfillment operational performance. Incorporate AI’s capabilities.
• Collect and analyze Global Fulfillment data from various business worldwide.
• Ensure data accuracy, consistency, and alignment across ERP system.
• Develop and implement process improvements to enhance efficiency and reduce costs.
• Work closely with Logistics Warehouses to provide ongoing support and guidance on operational improvements.
• Support leadership with performance insights, scenario analysis, and decision support.
  
  

• Bachelor’s degree in industrial engineering, supply chain, logistics, data Analytics, or a related engineering field.
• Experience: Minimum of 7-10 years of experience in operations analysis, business process improvement, or a related field.
• Experience building and maintaining BI dashboards and KPI reporting (Excel, Power BI, Tableau, or similar).
• Highly experience with SAP – knowledge with MM, PP and WM modules.
• Strong ability to analyze large datasets.
• High attention to detail with strong ownership of data quality and reporting accuracy.
• knowledge of process improvement methodologies and project management
• Hands-on, “boots-on-the-ground” experience in warehouse operations, including familiarity with warehouse layouts, material flow, and operational execution. - advantage
• Strong presentation and written communication skills (Hebrew & English)