Operations Program Manager, Delivery Ops, Deployment Team

Amazon • Nashville, TN

1d

About The Position

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).

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 ensuring our
fleet remains reliable, efficient, and maximally utilized to serve our DSP
customers.

We are a collaborative and forward-thinking group dedicated to maintaining the
heartbeat of Amazon's delivery ecosystem. Our team is passionate about
continuous improvement, data-driven decision making, automation, and creating
sustainable logistics solutions. By joining us, you'll be part of a group that
directly influences Amazon's commitment to operational excellence and customer
satisfaction through innovation and simplification.

Requirements

• 5+ years of program or project management experience
• Experience using data and metrics to determine and drive improvements
• Experience owning program strategy, end to end delivery, and communicating results to senior leadership
• Experience in creating process improvements with automation and analysis, or experience delivering results for large, cross-functional initiatives/projects

Nice To Haves

• Bachelor's degree in business, data science, public administration, finance, engineering, human resources or related field, or MBA and 7+ years of creating process improvements with automation and analysis experience
• Experience in data analysis and leveraging analytics to make decisions
• Experience in program management, logistics, operations, supply chain, transportation, or a related field
• Experience driving improvement programs in the operations, engineering and support fields
• Experience dealing effectively with customers during problem resolution and operating efficiently under pressure, or experience driving collaborative projects from conception to delivery
• Master's degree, or MBA in supply chain management, operations, engineering, analytics or related field

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

Benefits

• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level