Position is not eligible for visa sponsorship.
Work Location Type: HybridReq Number 335270
CompensationThe anticipated base pay compensation range for this position is $112,900.00
- $188,100.00. This role is eligible for an incentive target of up to 15% or $, based on the achievement of individual and company performance objectives in accordance with the current terms of the incentive program which are subject to change.
Rewards and BenefitsWith benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including:
- Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 6 free sessions each year with a licensed therapist to support your emotional wellbeing.
- 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date) and 6 company holidays per year.
- 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.
- Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.
- Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.
For additional information and details regarding Grainger's benefits, please click on the link below:
https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire
Grainger BenefitsThe pay range provided above is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills.
The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above.
Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law.
Position is not eligible for visa sponsorship.
Position DetailsThe Manager, Global Network Design & Optimization leverages advanced predictive modeling, mathematical optimization, machine learning, and quantitative analysis to solve complex strategic supply chain network challenges. The role develops data-driven solutions that improve service, cost, capacity planning, operational reach, and scalable growth through targeted investment. The position leads complex cross-functional analytics work, influences stakeholders through strategic recommendations, and advances modeling capabilities for long-range supply chain planning. This role contributes to the strategic direction of the supply chain by applying technical expertise, business insight, and forecasting discipline to network design and optimization decisions.
This is a Hybrid position requiring 3 days per week onsite at either the Chicago, IL or Lake Forest, IL offices.
You Will- Apply mathematical optimization, predictive modeling, machine learning, and other quantitative techniques to analyze, predict, and optimize complex logistics architectures, flows, and processes.
- Develop modeling approaches, analytical capabilities, and data sources to improve distribution network design, capacity planning, and long-range projections using tools such as Snowflake, Databricks, Python, R, and Gurobi.
- Lead complex cross-functional projects by setting direction for how supply chain network problems are structured, analyzed, and solved while aligning technical and business partners around long-range strategic recommendations.
- Translate complex analyses into strategic recommendations for senior leadership to support alignment on supply chain priorities, capacity decisions, operational investments, and service and cost improvement opportunities.
- Advance team modeling capabilities by identifying new methodologies, technologies, analytical approaches, and external partner capabilities that support current industry practices and future supply chain needs.
- Mentor team members by elevating analytical capability, promoting modeling best practices, and supporting consistent delivery of high-quality quantitative insights.
You Have- Bachelor's degree in supply chain, Logistics, Industrial Engineering, Operations Research, Applied Statistics, Mathematics or a related quantitative field.
- 5+ years in applied quantitative fields influencing optimization of supply chain network design, operations planning, inventory planning, transportation, and/or other complex operational systems
- Knowledge of supply chain optimization concepts and mathematical modeling, including applied experience using supply chain optimization software such as Coupa Supply Chain Modeler, Optilogic Cosmic Frog, AnyLogistix, or related tools.
- Experience applying data science and advanced statistical methods to develop, validate, and apply predictive models that inform strategic business decisions under uncertainty.
- Experience leading the full lifecycle of complex analytics and modeling initiatives from problem scoping through business recommendation.
- Experience communicating quantitative concepts, modeling outcomes, and strategic recommendations effectively with technical partners, cross-functional stakeholders, and senior leadership.
Position is not eligible for visa sponsorship.
