Lead Fulfilment Optimization Manager
Core
Lead last mile fulfillment and delivery strategy by blending operations research, simulation, and data science to optimize speed, cost, and guest experience for Target.
Role type
Lead Operations Research Manager (Fulfillment Optimization)
Builds
Scalable decision systems for network strategy, delivery promise, service design, order allocation, and dynamic fulfillment.
Domain
Retail / E-commerce / Last Mile Logistics
Deliverable
production ML models
Required skills
Operations research (optimization, simulation, stochastic modeling), Python, SQL, data science, hypothesis testing, scenario planning, cost-to-serve modeling, stakeholder alignment
Preferred skills
Retail/e-commerce/logistics experience, ML/AI techniques, LLM experience, PySpark/R
Technologies
Python, SQL, PySpark, R
Responsibilities
Define and optimize delivery strategy (same-day/next-day, service levels, allocation logic); Build decision models for delivery zone design, capacity allocation, and routing tradeoffs; Execute scenario planning and network simulations; Translate ambiguous business questions into solvable analytical models; Mentor team members and elevate modeling standards.
Seniority
Senior, hands-on IC with leadership responsibilities
