Senior Manager, eCommerce Fulfillment Optimization

Samsung Electronics; Plano (TX); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k)

Job summary

Samsung Electronics America, Inc. in Plano, TX is seeking a Sr. Manager, eCommerce Fulfillment Performance and Optimization to own the economic model of fulfillment performance.

The role translates operational performance, carrier results, and customer feedback into quantified cost to guide network investment and service priorities. The ideal candidate brings deep expertise in quantitative decision modeling and operational performance measurement, with cross-functional collaboration across

Qualifications

• Bachelor's degree required.
• 8+ years in analytical/operational roles with logistics exposure.
• Proven ability to build quantitative decision models and defend them.
• Experience translating complex analysis into executive recommendations.
• Strong cross-functional presence with credibility among leaders.

Responsibilities

• Own the COPQ model, converting service outcomes into quantified cost by driver.
• Partner with Data & Analytics to define measurement framework for delivery promise accuracy.
• Own metric definitions and attribution methodology across Fulfillment Operations.
• Quantify performance across fulfillment paths, carriers, markets, and service levels.
• Lead recurring fulfillment performance reviews with cross-functional domain owners.

Skills

Analytical decision modeling

Cross-functional leadership

Cost-to-serve analysis

Executive-level communication

Data-driven optimization

Education

Bachelor's degree

Tools

Data analytics tools

Job description

Samsung Electronics America, Inc. in Plano, TX is seeking a Sr. Manager, eCommerce Fulfillment Performance and Optimization to own the economic model of fulfillment performance.

The role translates operational performance, carrier results, and customer feedback into quantified cost to guide network investment and service priorities. The ideal candidate brings deep expertise in quantitative decision modeling and operational performance measurement, with cross-functional collaboration across