Solutions Engineer

Full-Lifecycle Solution Development: Own and drive the solution development process for the Network’s most complex and strategic initiatives from initial ideation and brainstorming, through conceptual development, validation via simulation and modeling, and into the final detailed design phase. Develop and champion a portfolio of solutions ranging from modular and scalable improvements to large-scale, integrated systems. Technology Thought Leadership & Vendor Partnership: Define and lead the technology strategy by acting as the primary internal thought leader on logistics technology, maintaining a deep understanding of the tech provider landscape. Establish standards for vendor engagement and direct feasibility studies, proof-of-concept projects, and pilot programs to vet emerging technologies. Business Case & ROI Justification: Develop comprehensive business cases for network-wide initiatives. Build financial models that articulate ROI and TCO, evaluating the holistic impact on the entire supply chain and presenting clear justification for capital investments. Technical Project Leadership & Oversight: Provide technical leadership and subject matter expertise throughout the project lifecycle. Define project scopes and collaborate with cross-functional teams to ensure solutions are delivered on time, within budget, and meet network-wide performance goals. Data-Driven Solution Modeling & Validation: Utilize data analytics, simulation, and network modeling tools to validate design concepts. Analyze the flow of inventory across the network to identify systemic constraints and opportunities for improvement. Cross-Functional Influence & Community Engagement: Effectively communicate complex solutions to internal stakeholders and serve as a key technical representative and the face of GFS within the broader vendor and technology community. Act as the bridge between Operations, IT, Finance, and our external innovation partners. Solution Impact Modeling & Benefits Realization: Partner with the Industrial Engineering team to leverage existing Engineered Labor Standards (ELS) for establishing performance baselines. Use this data to model the projected labor impact of new solutions and to measure post-implementation success against established network KPIs.