Material Planning & Logistics Optimization Specialist

Autoliv; Santiago de Querétaro; Hybrid; MXN 420,000 - 660,000; Full time

Benefits offered by this job

Attractive compensation package

Flexible office + home office Fridays

Recognition awards & company events

Gender pay equality

Job summary

Autoliv is seeking a logistics-focused professional to implement and optimize the North American Logistics Strategic Plan across cross-docks and manufacturing sites. You will standardize data and material flows to drive efficiency, mitigate supply risk, and reduce network miles through optimization and asset utilization.

The role requires 3–5 years of experience, advanced English, and a strong understanding of TMS, WMS, MRP, ERP, MES, and YMS in automotive/manufacturing environments.

Qualifications

• Minimum 3–5 years of experience in logistics or supply chain roles.
• Bachelor’s degree in Logistics, Supply Chain, Industrial Engineering, or related field.
• Advanced English skills and ability to collaborate with IT and business teams.

Responsibilities

• Map and optimize process flows across cross-docks and manufacturing sites.
• Translate business needs into IT requirements and support UAT testing.
• Drive data standardization, master data cleansing and enrichment.
• Support digitalization initiatives and new system enhancements.

Skills

Analytical thinking

Cross-functional collaboration

English proficiency

Process optimization

Project management

Education

Bachelor's degree in Logistics

Bachelor's degree in Supply Chain

Tools

TMS

WMS

MRP

ERP

MES

YMS

Job description

Autoliv is seeking a logistics-focused professional to implement and optimize the North American Logistics Strategic Plan across cross-docks and manufacturing sites. You will standardize data and material flows to drive efficiency, mitigate supply risk, and reduce network miles through optimization and asset utilization.

The role requires 3–5 years of experience, advanced English, and a strong understanding of TMS, WMS, MRP, ERP, MES, and YMS in automotive/manufacturing environments.