Job Description
-Take immediate ownership of USAC (U.S. and Canada) network optimization modeling, serving as the primary model owner.
-Review, validate, and manage the 2025 model refresh and forward-looking models (2026–2028), ensuring accuracy and usability for leadership decision-making.
-Serve as a key contributor in new business and ad hoc modeling requests, quickly assessing how requests fit into the broader network optimization framework and taking action.
-Collaborate closely with: Network optimization leadership, Other specialized modelers (transportation, simulation, inventory), Supply chain finance partners, Planning teams and internal logistics stakeholders
-Support internal “customer-facing” needs, reacting to evolving logistics and supply chain questions while helping prioritize work across competing requests.
-Contribute to a center-of-excellence-style modeling team, where specialization exists but network optimization capability remains core to the role.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
-Hands-on experience building and owning network optimization models with demonstrated success outcomes (not theoretical or academic-only exposure).
-Direct experience using commercial network modeling tools, with strong preference for: Llamasoft, OptiLogic, Comparable large-scale commercial network optimization platforms (e.g., AIMMS / AnyLogic / similar).
-Minimum of 5+ years of direct experience building network models; additional experience is beneficial but not required.
-Ability to immediately step into an existing production model with minimal to no ramp-up or formal training.
-Proven capability to review, refresh, and own large-scale network models, including validating assumptions and outputs.
-Experience supporting U.S. and Canada network modeling or similarly complex regional supply chain networks.
-Strong ability to translate new business questions or ad hoc requests into actionable network optimization analyses and respond quickly.
Nice to Have Skills & Experience
-Experience working with both commercial network optimization tools and homegrown/proprietary modeling solutions, demonstrating a deeper understanding of how models are built and function.
-Background in manufacturing or production environments, particularly where production constraints are tightly coupled with network design decisions.
-Exposure to or experience with production modeling in addition to distribution or transportation network modeling.
-Familiarity with transportation modeling, including route planning and vehicle-related optimization concepts.
-Experience working closely with inventory simulation or logistics simulation use cases.
-Master’s degree preferred (not required).
-Academic or research background combined with real-world commercial modeling experience.
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.