POSITION OVERVIEW

This position plays a vital role in: (1) designing, deploying, and maintaining Network Optimization Models, (2) developing tools and processes to assess long-range distribution capacity and mitigation plans, and (3) performing analysis and business case development of capital investment and divestment opportunities.
The Network Optimization Manager has extensive experience in supply chain design and optimization and can synthesize insights from complex, system-based evaluations. This role is responsible for developing and maintaining core tools and processes that enable multi-year, strategic planning across the US. Additionally, this role will oversee multiple large-scale, complex initiatives and provide coaching and mentoring to other specialists through their daily work. This role will also assess transportation outsourcing vs. within-fleet capacity determinations.
By leading network optimization projects and utilizing advanced tools and data analytics, this role will drive significant improvements in logistics operations, collaborate with cross-functional teams to ensure seamless project execution, and leverage solutions to streamline distribution center processes.

EDUCATION AND EXPERIENCE

• Bachelor’s Degree required, Master’s Degree preferred, in Supply Chain, Logistics, Engineering, or Mathematics
• Three (3) years of experience specifically in Network optimization tools such as Llamasoft, O9, Kinaxis
• Six (6) years of experience in analytics and visualization tools such as PowerBI, Tableau, Alteryx, and SQL
• Deep understanding of supply chain metrics, manufacturing, production network optimization, transportation, demand planning, or other areas related to Logistics and Supply Chain

TECHNICAL SKILLS

• Experience with routing optimization software such as SAP TM, Direct Route, Aptean, Route4Me, Descartes
• Geographical Information Systems (GIS) such as ARCGIS, knowledge for spatial data analysis using telematics data
• Statistical analysis skills for identifying patterns and anomalies in delivery data
• Programming abilities in Python or R, SQL, Tableau Prep/Power BI for custom analysis and solutions, ideally within the network optimization space

REQUIREMENTS: ANALYTICAL CAPABILITIES

• Route density analysis to identify underutilized capacity
• Knowledge of cost/benefit analysis and key financial drivers (NPV, IRR, Payback Period)
• Last mile cost structure breakdown and analysis, Seasonal demand pattern recognition and planning
• Familiarity with advanced statistical methods and regression tools

PREFERRED QUALIFICATIONS

• Currently hold an ASCM CSCP or CLTD credential
• Demonstrated ability to analyze complex systems and processes, identify inefficiencies, and develop innovative engineering solutions
• Experience synthesizing key takeaways across a wide range of data sources and translating into defined opportunities