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Sr. Manager, Logistics Analytics & Optimization

Gap Inc • Logistics • Retail & Shop Systems • Bachelor's Degree • 17 days ago
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Salary
≈ $92k – $178k per year (Estimated)
Location
In office (United States)
Seniority
Senior · 9+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Sep 28, 2026.

Overview
Company
Impact
Profile match

Gap Inc

Headquartered in San Francisco, California, United States, The Gap, Inc. (Gap Inc.) is a global specialty apparel retailer and multi-brand fashion enterprise. Founded in 1969 by Donald and Doris Fisher, the company manages an iconic brand portfolio anchored by four primary divisions: Old Navy, Gap, Banana Republic, and Athleta. Its product lines span casual wear, denim, activewear, contemporary workwear, and accessories for men, women, and children across distinct market tiers - from budget-friendly family essentials to performance athletic apparel and accessible luxury.
gapinc.com • HQ: San Francisco, United States • Consumer Goods • Commerce • Retail & Shop Systems • Apparel & Fashion Brands • Est. 1969
Tech stack of Gap Inc

About the Role

In this position you will support the advancement of data-driven decision-making and operational optimization across Gap Inc.’s Distribution Center and Contact Center network. Reporting to the Director, Logistics Analytics and Optimization, this role translates complex operational data into actionable insights, analytical solutions, and optimization opportunities that improve network performance, efficiency, and responsiveness

This role partners closely with Distribution Center and Contact Center Operations, Engineering, Technology, and other cross-functional teams to develop and implement analytical capabilities that support operational decisions, identify opportunities for improvement, and enable smarter, more efficient operations for our customers and brands.

What You'll Do

  • Develop and implement analytical models, algorithms, tools, and automated processes that improve operational performance and decision-making across DC/CC network
  • Analyze operational and supply chain data to identify trends, root causes, and opportunities to improve productivity, capacity, service, and cost
  • Translate complex data into clear, actionable insights and recommendations for Operations and functional leaders.
  • Partner with Operations, Engineering, Technology, and other cross-functional teams to develop and implement scalable analytical and optimization solutions.
  • Leverage AI, machine learning, automation, forecasting, and advanced analytics to simplify work and optimize network performance.
  • Measure the effectiveness and business impact of analytical solutions and recommend enhancements to drive continuous improvement.
  • Deploy machine learning algorithms in production environment.

Who You Are

  • Degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
  • 9+ years experience in advanced analytics, data science, operations research, supply chain analytics, or a related field.
  • Experience in deploying, scaling, and monitoring machine learning models.
  • Experience applying AI and machine learning capabilities to identify opportunities, improve decision-making, automate processes, and optimize operational performance.
  • Ability to work both at a detailed level as well as to summarize findings and extrapolate knowledge to make strong recommendations for change
  • Ability to collaborate with cross functional teams and influence product and analytics roadmap.
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