Global Supply Chain Optimization Lead

CHEP; England; Remote; GBP 75,000 - 110,000; Full time

Job summary

CHEP is seeking an experienced Supply Chain Optimization Manager to shape strategic supply chain decisions through advanced network optimization modelling and analytics. Based across Europe, you will develop and maintain optimization models to evaluate scenarios, identify cost and service improvements, and support evidence-based decision making.

You will translate modelling outputs into actionable recommendations for senior stakeholders and drive continuous improvement in modelling approaches,

Qualifications

• Experience with supply chain optimization software is essential.
• Ability to build and maintain complex supply chain, network, logistics or optimization models.
• Strong communication and senior stakeholder management skills.
• Analytical and problem-solving capabilities; able to explain technical concepts to non-technical audiences.

Responsibilities

• Build, maintain and enhance supply chain optimization models using specialist software to evaluate scenarios.
• Analyze complex data sets and run multiple model scenarios, adjusting parameters to assess impact.
• Present model outputs and business cases to senior stakeholders with clear insights.
• Develop presentations and reports to support recommendations with robust data analysis.
• Identify opportunities to improve modelling methodologies, automation and reporting.

Skills

Supply chain optimization software

Complex models

Executive stakeholder management

Analytical thinking

Excel & PowerPoint

Tools

Excel

PowerPoint

Job description

CHEP is seeking an experienced Supply Chain Optimization Manager to shape strategic supply chain decisions through advanced network optimization modelling and analytics. Based across Europe, you will develop and maintain optimization models to evaluate scenarios, identify cost and service improvements, and support evidence-based decision making.

You will translate modelling outputs into actionable recommendations for senior stakeholders and drive continuous improvement in modelling approaches,