Highlights
You might start by reviewing automation metrics from recent deployments, then transition to a design session with engineers on new forecasting algorithms, followed by stakeholder meetings to align on program priorities and remove blockers. Lead cross-functional alignment between supply chain operations, data science, and engineering teams to identify optimization opportunities and implement data-driven solutions.
Numbers & Facts
| Location | Bellevue, WA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
Description
Do you thrive on transforming complex operational challenges into streamlined automated solutions? The Asset Availability team within our Delivery to Execution (D2E) organization is seeking a technical leader to drive automation and data intelligence across supply chain operations. You"ll spearhead initiatives to automate 50% of redundant tasks while establishing innovative S&OP functions that revolutionize asset availability forecasting. Working at the intersection of technology and logistics, you"ll leverage your expertise in automation, data forecasting, and supply chain operations to deliver scalable solutions that impact millions of customers worldwide.
This role offers a unique opportunity to understand end-to-end D2E functions and Vendor Operations Readiness Review (VORR) processes while serving as a strategic technical leader for data and automation initiatives. You"ll partner with cross-functional teams to identify automation opportunities, design robust forecasting models, and implement solutions that enhance operational efficiency at scale.
Key job responsibilities
Drive end-to-end program management for large-scale automation initiatives that eliminate redundant tasks and improve operational efficiency across D2E functions
Partner with business stakeholders and engineering teams to establish Sales & Operations Planning (S&OP) functions for Asset Availability, including data requirements and forecasting models
Create technical requirements and architectural designs for automation solutions, collaborating with science and engineering teams to deliver scalable systems
Lead cross-functional alignment between supply chain operations, data science, and engineering teams to identify optimization opportunities and implement data-driven solutions
Proactively identify risks and dependencies across complex technical programs, ensuring alignment with organizational objectives and driving resolution of technical and operational blockers
A day in the life
Your day will be a dynamic blend of strategic thinking and hands-on problem-solving. You"ll collaborate with cross-functional teams, dive deep into operational challenges, and offer simple and effective solutions. You might start by reviewing automation metrics from recent deployments, then transition to a design session with engineers on new forecasting algorithms, followed by stakeholder meetings to align on program priorities and remove blockers.
About the team
This role exists within the Asset Availability team and within the D2E (execution) organization as a strategic technical leader for data and automation. Our team focuses on optimizing asset utilization and availability through innovative technology solutions that directly impact customer delivery experiences.
We"re building the future of supply chain operations by leveraging automation and advanced analytics to solve complex logistical challenges. Join us in creating scalable solutions that enhance operational excellence while fostering an inclusive environment where technical innovation drives measurable business impact.
About Company
At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.
It’s Always Day 1
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here
Our Leadership Principles
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles
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