Program Manager 2 - Supply Chain & Analytics Routing

brobstongroup.com - Jobboard

Seattle (WA)

On-site

USD 90,000 - 130,000

Full time

14 days+

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Job summary

Brobston Group is seeking a professional to lead cross-functional initiatives that enhance ordering, fulfillment, and last-mile routing in Seattle, WA. The role requires strong program management skills combined with hands-on analytics.

The ideal candidate will have over 5 years of experience in supply chain or logistics, including strong SQL and Python skills for analyzing large datasets. Knowledge of data modeling and optimization techniques is essential.

Qualifications

  • 5+ years of experience in supply chain, transportation, logistics, or program management.
  • Strong skills in SQL and Python or R for analyzing large datasets.
  • Experience with data modeling and predictive/optimization techniques.

Responsibilities

  • Own programs to improve fulfillment and last-mile routing performance.
  • Translate operational challenges into execution plans and success metrics.
  • Analyze operational datasets using SQL and Python or R.

Skills

SQL
Python
R
Data modeling
Logistics
E-commerce analytics

Education

Bachelor’s degree in STEM, Supply Chain, or Operations Research

Job description

Summary

Lead cross-functional initiatives to improve ordering, fulfillment, and last-mile routing by combining program management with hands‑on analytics. Partner with Operations, Product, Engineering, and Data Science to design, test, and scale data-driven routing and fulfillment solutions. Drive measurable business outcomes through experimentation, optimization, and deployment of analytical models.

Responsibilities
  • Own end-to-end programs to improve ordering, fulfillment, and last-mile routing performance.
  • Translate operational challenges into clear problem statements, execution plans, milestones, and success metrics.
  • Partner with stakeholders across Merchandising, Digital, Inventory, Store Operations, Product, and Technology to drive execution.
  • Analyze large-scale operational datasets using SQL and Python or R to surface insights and opportunities.
  • Develop data models, simulations, and optimization (LP/MILP, routing, network) approaches and prototype AI‑enabled solutions for production handoff.
  • Track business impact, validate outcomes via experimentation, and iterate based on results.
Requirements
  • Bachelor’s degree in STEM, Supply Chain, Operations Research, or related field.
  • 5+ years of experience in supply chain, transportation, logistics, e‑commerce analytics, or program management.
  • Strong SQL and Python or R skills applied to large, complex datasets.
  • Experience with data modeling, simulation, and predictive/optimization techniques; familiarity with AI/ML frameworks is a plus.
  • Working knowledge of last‑mile transportation, parcel shipping, or high‑volume e‑commerce logistics.
  • Proven ability to influence cross‑functional teams, communicate complex technical concepts to non‑technical audiences, and manage multiple priorities.
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