Program Manager 2 – Supply Chain & Analytics Routing (Hybrid - Seattle, WA)

Nordstrom•Seattle, WA

1d•Hybrid

About The Position

At Nordstrom, our Supply Chain teams play a critical role in delivering on our promise to customers — providing speed, reliability, and exceptional service at every touchpoint. We’re looking for a Program Manager 2 – Supply Chain & Analytics Routing to help shape and deliver data‑driven improvements across ordering, fulfillment, and last‑mile delivery. This role blends program leadership with hands‑on analytics and data science. You’ll lead complex, cross‑functional initiatives while working directly with data to design, test, and scale routing and fulfillment solutions that improve customer experience, speed, and cost efficiency. Success in this role requires strong analytical depth, structured problem solving, and comfortable operating independently in fast‑paced, ambiguous environments. You’ll partner closely with Operations, Product, Engineering, and Data Science teams to deliver scalable capabilities and measurable business outcomes. This role is offered as hybrid in Seattle, WA. Candidates must be available to work in office at the Nordstrom corporate headquarters a minimum of 4 days/week to be considered for this position. A day in the life… Program Leadership & Delivery Own and support end‑to‑end initiatives that improve ordering, fulfillment, and last‑mile routing performance Translate complex operational challenges into clear problem statements, execution plans, and measurable success criteria Define scope, milestones, timelines, and success metrics, and drive execution across highly cross‑functional teams Partner with stakeholders across Merchandising, Marketing, Digital Operations, Inventory, Store and Field Operations, Product, and Technology Communicate trade‑offs, risks, and recommendations clearly to enable informed decision‑making at multiple levels Track business impact, ensure value realization, and iterate based on results Analytics & Technical Impact Explore and analyze large‑scale operational datasets using SQL and Python or R to surface insights and opportunities Develop data models, simulations, and exploratory analyses to evaluate scenarios and inform decision‑making Apply predictive modeling and optimization techniques (e.g., LP/MILP, routing, network optimization) to improve fulfillment and last‑mile performance Prototype analytical and AI‑enabled solutions and partner with engineering teams to deploy them into production environments Use metrics, experimentation, and test‑and‑learn approaches to validate outcomes and drive continuous improvement You own this if you have…

Requirements

Bachelor’s degree in STEM, Supply Chain, Operations Research, or a related field
7+ years of experience in supply chain, transportation, logistics, or e‑commerce analytics and/or program management
Strong SQL and Python or R skills applied to large‑scale, complex datasets
Experience with data modeling, simulation, and exploratory analysis
Familiarity with predictive modeling and optimization techniques (LP/MILP, routing, network optimization); exposure to AI/ML frameworks such as PyTorch is a plus
Working knowledge of supply chain, last‑mile transportation, and/or parcel shipping operations
Experience partnering closely with engineering and technical teams in an agile development environment
Strong analytical and quantitative skills with a proven ability to use data and metrics to inform decisions
Ability to clearly communicate complex technical concepts to non‑technical, cross‑functional audiences
Demonstrated ability to influence without authority and collaborate across diverse teams
Comfort navigating ambiguity, independently defining problems, and driving solutions
Ability to manage multiple priorities in a fast‑paced environment
Strong written and verbal communication skills, with a focus on clarity and outcomes
Strong business acumen and a results‑oriented mindset

Nice To Haves

Familiarity with cloud data platforms and/or business intelligence tools
Experience in retail or high‑volume e‑commerce logistics environments

Responsibilities

Own and support end‑to‑end initiatives that improve ordering, fulfillment, and last‑mile routing performance
Translate complex operational challenges into clear problem statements, execution plans, and measurable success criteria
Define scope, milestones, timelines, and success metrics, and drive execution across highly cross‑functional teams
Partner with stakeholders across Merchandising, Marketing, Digital Operations, Inventory, Store and Field Operations, Product, and Technology
Communicate trade‑offs, risks, and recommendations clearly to enable informed decision‑making at multiple levels
Track business impact, ensure value realization, and iterate based on results
Explore and analyze large‑scale operational datasets using SQL and Python or R to surface insights and opportunities
Develop data models, simulations, and exploratory analyses to evaluate scenarios and inform decision‑making
Apply predictive modeling and optimization techniques (e.g., LP/MILP, routing, network optimization) to improve fulfillment and last‑mile performance
Prototype analytical and AI‑enabled solutions and partner with engineering teams to deploy them into production environments
Use metrics, experimentation, and test‑and‑learn approaches to validate outcomes and drive continuous improvement