Job Description
Amazon Pharmacy is transforming health care, making medications more accessible with greater price transparency. We are early in our journey to build a digital-forward, customer-centric pharmacy, with significant opportunity for growth. Our FP&A team owns end-to-end financial planning, reporting, and strategic support for senior leadership.
Key job responsibilities
We seek a Finance Manager to join the Amazon Pharmacy FP&A team and lead Pharmacy Finance through critical planning cycles. This role drives end-to-end execution of OP1/OP2, quarterly guidance, and Long Range Planning (LRP), including cross-functional coordination, timeline management, narrative development, and senior leadership deliverables. With full P&L exposure, you"ll surface financial insights that influence strategic decision-making at the VP level.
The right candidate earns trust across finance, tech, and business teams; owns planning cycles in high-ambiguity environments; and delivers high-quality executive materials under tight timelines with strong judgment.
The ideal candidate will have hands-on experience applying AI to FP&A workflows, including:
- Designing and deploying AI-powered automation for recurring processes (forecasting, reporting, close) while maintaining controllership standards
- Applying prompt engineering to accelerate variance analysis, scenario modeling, and executive narrative drafting
- Building and validating AI-driven forecasts with shadow testing and clear human-override frameworks
- Identifying and scaling AI use cases across the FP&A value chain
- Developing reusable AI tooling and agents for team-wide adoption
This role offers growth into strategic finance thought leadership, shaping long-term business strategy and the operating model for AI-augmented FP&A at scale.
Numbers & Facts
| Location | Seattle, WA |
| Industry | Retail |
| Company Size | 10,000 employees or more |
| Year Founded | 1994 |
| Website | http://Amazon.com/militaryroles |
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
Skills
- Artificial Intelligence (AI)unmatched
- Artificial Intelligence (AI) Agentsunmatched
- Automationunmatched
- Business Strategyunmatched
- Cross-Functionalunmatched
- Financeunmatched
- Financial Managementunmatched
- Financial Planningunmatched
- Financial Planning and Analysis (FP&A)unmatched
- Financial Reportingunmatched
- Financial Strategyunmatched
- Forecastingunmatched
- Healthcareunmatched
- Leadershipunmatched
- Machine Toolunmatched
- Medicationsunmatched
- Pharmacyunmatched
- Profit & Lossunmatched
- Thought Leadershipunmatched
- Time Managementunmatched
- Use Casesunmatched
- Value Chain Modelunmatched
- Variance Analysisunmatched
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