Sr. Supply Chain Manager, Deployment Team
Amazon - Arlington, Virginia, USA
Posted May 12, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
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- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Sr. Supply Chain Manager, Deployment Team Arlington, Virginia, USA Transform Amazon's global logistics landscape by optimizing fleet operations and driving strategic network capacity solutions through data-driven innovation and AI-powered automation. In this pivotal role, you'll leverage advanced analytics, machine learning, and program management expertise to revolutionize how we manage and deploy our extensive fleet network, directly reducing turnaround times and maximizing vehicle utilization to deliver exceptional customer experiences for our Delivery Service Partners (DSPs). Key job responsibilities Lead strategic initiatives to streamline and automate fleet transport processes between DSPs, reducing turnaround time and maximizing vehicle utilization Develop and implement AI and machine learning solutions to optimize network capacity and resource allocation across diverse business units Analyze and synthesize complex data from multiple sources to identify operational improvement opportunities and visualize current state operations Design innovative automation mechanisms to replace manual processes and accelerate decision-making Collaborate with cross-functional stakeholders and DSP customers to achieve shared network capacity goals aligned with S-team utilization objectives Monitor and optimize key metrics ensuring smooth supply chain operations and maximum fleet availability Drive data-driven decision making through advanced analytics and visualization tools A day in the life Your day will be a dynamic blend of strategic problem-solving, automation development, and collaborative innovation. You'll dive into fleet health dashboards, identify opportunities to streamline manual processes, and leverage AI/ML tools to optimize complex fleet transport operations between DSPs. From analyzing transport trends and visualizing data to developing automated solutions that reduce turnaround time, you'll be the critical link
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