Responsible for designing, modeling, and optimizing end‑to‑end supply chain networks to achieve the lowest landed cost while meeting service, capacity, and operational constraints
Leverages advanced optimization and analytical tools to support both strategic and tactical decisions related to network design, capacity planning, throughput analysis, and transportation mode selection
Plays a critical role in enabling data‑driven decisions that enhance cost efficiency, resilience, and scalability across the supply chain
Leads the development and execution of supply chain network models using optimization software to evaluate and recommend lowest landed cost solutions
Designs and analyzes network scenarios, including facility location, distribution flows, sourcing strategies, and transportation options
Conducts throughput analysis to identify bottlenecks, constraints, and improvement opportunities across supply chain nodes and transportation lanes
Partners closely with Distribution Operations, Transportation, Purchasing, Finance, and Strategy teams to translate analytical insights into executable recommendations
Owns capacity planning models across warehousing, and transportation to ensure alignment with demand forecasts and growth strategies
Develops standardized methodologies, tools, and data models to support network planning and optimization
Communicates complex analytical findings clearly to executive and cross‑functional stakeholders, including scenario assumptions, risks, and trade‑offs
Supports long-range planning, capital investment decisions, and major initiatives
Requirements
Typically requires BS/BA in a related discipline
Generally 8+ years of experience in a related field OR MS/MA and generally 5+ years of experience in a related field
Certification is required in some areas
Bachelor’s degree in a related field with 5–10 years of progressive supply chain experience (Master’s degree preferred)
Knowledge of landed cost modeling and supply chain network optimization
Experience supporting M&A activity, network rationalization, or large‑scale transformation initiatives
Proficiency with data and analytics tools such as SQL, Python, R, and advanced Excel
Hands-on experience with supply chain modeling and optimization software (e.g., Optilogic, LLamasoft/Coupa, o9, AnyLogic, AIMMS)
Strong background in capacity planning, throughput analysis, and transportation network design
Ability to translate complex analytical models into practical, business‑ready decisions
Advanced analytical skills, including data manipulation, scenario modeling, and sensitivity analysis
Strong leadership, communication, and stakeholder engagement skills.
Tech Stack
Python
SQL
Benefits
Most of the time is spent sitting in a comfortable position