As a Program Manager II in Amazon's Last Mile Science and Analytics team, you'll be at the forefront of revolutionizing e-commerce delivery. Your role is pivotal in optimizing the final and most critical phase of our vast logistics network. You'll lead the development of AI and
machine learning solutions that directly impact the speed, efficiency, and cost-effectiveness of delivering millions of smiles to customers' doorsteps every day.
In this role, you'll bridge the gap between advanced data science and practical business applications, translating complex algorithms into user-friendly tools that drive our last mile operations. You'll work with a diverse team of world-class scientists, engineers, and operations experts, leveraging Amazon's unparalleled data resources and technological capabilities.
Your decisions and innovations will have a direct, measurable impact on customer satisfaction, operational efficiency, and Amazon's bottom line. This position offers a unique opportunity to tackle some of the most complex challenges in logistics at a global scale, pushing the boundaries of what's possible in the last mile delivery space.
If you're passionate about using technology to solve real-world problems, thrive in a data-driven environment, and want to shape the future of how goods are delivered worldwide, this role is for you. Join us in our mission to make Amazon the earth's most customer-centric company, one delivery at a time.
Key job responsibilities
Responsibilities:
• Drive the product vision and strategy for last mile delivery optimization tools
• Collaborate with data scientists to translate complex algorithms into user-friendly products
• Gather and prioritize product requirements from stakeholders across Amazon's global operations
• Work closely with engineering teams to develop and launch new features and products
• Analyze product performance metrics and user feedback to guide continuous improvement
• Create and maintain product roadmaps, balancing short-term needs with long-term strategic goals
• Communicate product updates and value propositions to internal teams and leadership
A day in the life
We are Amazon's Last Mile Science and Analytics team, dedicated to improving e-commerce delivery. We work to optimize our vast network, forecast demand using
machine learning, and enhance route efficiency. Our efforts focus on developing innovative delivery methods, applying AI to solve complex problems, and conducting geospatial analysis. We create simulations to refine processes and plan capacity effectively. Operating globally, we strive to develop adaptable solutions for diverse markets. We aim to advance logistics science, continually improving speed, efficiency, and customer satisfaction, in support of Amazon's mission to be Earth's most customer-centric company.
- 3+ years of program or project management experience
- 3+ years of defining and implementing process improvement initiatives using data and metrics experience
- Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL
- Experience using data and metrics to determine and drive improvements
- Experience working cross functionally with tech and non-tech teams
- 3+ years of driving end to end delivery, and communicating results to senior leadership experience
- 3+ years of driving process improvements experience
- Experience in
stakeholder management, dealing with multiple stakeholders at varied levels of the organization
- Experience building processes, project management, and schedules
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit
https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.