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North America Logistics Execution Program Manager

nvidia·US·United States·mid
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NVIDIA has an incredible opportunity in our Global Logistics Execution team to build and lead our end-to-end logistics workflows across a rapidly scaling network! This role will play a critical part in developing our expanding North America logistics network, partnering cross functionally to design and implement scalable processes supporting Mass Production and NPI domestic and cross border material movements. The Logistics Execution Program Manager owns secured in-transit execution and service reliability, driving partner accountability to meet committed on time delivery through TMS-defined strategies, and optimizing network performance across transportation (dedicated fleet and multi-stop routing), packaging configurations, and equipment utilization. This role supports site readiness and capacity alignment, in addition to using data and technology to proactively identify and mitigate service delays and risks. You will partner with our Command Center of Excellence to reduce delays and dwell times, drive partner accountability, and establish continuous improvement processes, ensuring fast, reliable execution in support of NVIDIA 's rapid growth and ramps. What you'll be doing: Responsible for overseeing operational programs and projects that support logistics processes and partner performance; setting goals and 3PL performance objectives and driving performance improvement activities with suppliers and cross functional teams to assure operations efficiency, speed, and productivity. Develop and deliver initiatives and assignments from inception to close-out, on time and within scope and budget. Lead and maintain efficient delivery of all services. Develop recommendations and presentations to Executive Management on matters pertaining to operational changes, rule and process updates, incident investigation and response, long term strategies, and engineering project operations impacts. Own the development of logistics programs, including building out future AI/automati