Sr. Manager, Fulfillment Performance and Optimization

Samsung Electronics•Plano, TX

9d•Onsite

About The Position

Samsung Electronics America, Inc. (SEA), the U.S. Sales and Marketing subsidiary, is a leader in mobile technologies, consumer electronics, home appliances, enterprise solutions and networks systems. For more than four decades, Samsung has driven innovation, economic growth and workforce opportunity across the United States—investing over $100 billion and employing more than 20,000 people nationwide. By integrating our large portfolio of products, services and AI technology, we’re creating smarter, sustainable and more connected experiences that empower people to live better. SEA is a wholly owned subsidiary of Samsung Electronics Co., Ltd. To learn more, visit Samsung.com. For the latest news, visit news.samsung.com/us. Delivering large, complex products to customers’ homes is among the more demanding problems in eCommerce. It spans multiple partners, fulfillment pathways, and systems. Performance is measured daily in cost, service, and customer experience. Samsung Electronics America is seeking a Sr. Manager, eCommerce Fulfillment Performance and Optimization to own the economic model of fulfillment performance. The job of this role is to translate operational performance, carrier results, and customer feedback into quantified cost. That model drives how volume is allocated across our carrier network, which operational priorities the organization pursues, and how platform investment is directed. The ideal candidate brings deep expertise in quantitative decision modeling, cost-to-serve analysis, and operational performance measurement, with experience turning complex data into decisions that move a large operation. This individual will work cross-functionally with Fulfillment Operations, and the broader logistics organization to optimize how our fulfillment network performs across cost and service. This is an analytical and modeling role, rather than a reporting or day-to-day operations role. Based in our Plano, TX office, this position carries visibility to senior leadership and significant influence over how our fulfillment network performs.

Requirements

Bachelor’s degree required.
8+ years of relevant experience in analytical, operations, or commercial roles, with meaningful exposure to physical operations or logistics.
Demonstrated ownership of cost or service performance outcomes in an operational environment.
Proven ability to build quantitative decision models, and to defend the methodology and assumptions behind them.
Experience translating complex analysis into executive-level recommendations and driving decisions from it.
Strong cross-functional presence, with the ability to hold credibility among both operational leaders and technical teams.

Nice To Haves

Experience in supply chain, logistics, fulfillment, or eCommerce operations.
Direct experience with operations excellence, quality engineering, or continuous improvement (DMAIC, cost of quality)
Direct experience with appointment-based delivery and installation logistics.
Background in pricing, revenue management, or another discipline requiring quantified trade-off analysis.
Advanced degree in Analytics, Supply Chain, Engineering, or a related quantitative field.

Responsibilities

Own the Cost of Poor Quality (COPQ) model, converting service outcomes, damages, returns, reschedules, and customer contacts into quantified cost by driver.
Partner with Data and Analytics Team to define the measurement framework for delivery promise accuracy, root cause attribution, and fulfillment path performance.
Own metric definitions and attribution methodology across Fulfillment Operations.
Quantify comparative performance across fulfillment paths, carriers, markets, product categories, and service levels
Establish and maintain promise attainment measurement against the original customer commitment, consistent with standard supply chain reference definitions.
Own the analytical models behind carrier allocation strategy, including cost-to-serve normalization across paths with differing cost structures.
Recommend allocation configuration changes, supported by simulation against order history, and measure realized impact following implementation.
Optimize allocation within contractual volume commitments, rate tiers, and additional continually-evolving constraints.
Model the cost and service profile of prospective fulfillment network changes ahead of commitment, and track the performance against that model afterward.
Maintain a single prioritized, dollar-sized view of performance drivers across all fulfillment paths and domains.
Bring root cause, quantified impact, and supporting evidence to the accountable domain owner. Track initiatives to closure and verify results in the data.
Validate that implemented improvements hold by verifying realized impact against the original case, and refreshing cost coefficients on a set cadence to keep the models current.
Lead a recurring fulfillment performance review with cross-functional domain owners.
Build the analytical case behind platform enhancement requests, including ROI quantification for market requirements documents.
Model proposed service and pricing initiatives ahead of commitment.
Ensure operational remediation, revenue generating, and cost saving initiatives are quantified on one consistent economic basis.
Validate realized impact after launch and feed results back into the model.