Finance Manager - SCOT Automated Inventory Management , SCOT AIM Finance

The Supply Chain Optimization Technologies (SCOT) team sits at the core of Amazon's global supply chain — determining what inventory to buy, when to buy it, how much to order, where to position it, and how to recover value from unproductive inventory — all to delight customers while meeting Amazon's business objectives. Operating at massive scale across hundreds of product lines and billions of dollars of worldwide inventory, SCOT's fully in-house, automated planning and optimization systems are among the most sophisticated in the world. Finance within SCOT is a high-impact function, partnering directly with AI and machine learning engineers, scientists, product managers, and operations leaders to shape strategy, drive investment decisions, and deliver measurable improvements to Amazon's supply chain economics.

--The Role--

We're looking for a Finance Manager who thrives in deep business partnership with senior executives, including Directors and VPs — serving as the financial owner for our Rest of World Automated Inventory Management portfolio, covering India, Japan, AMET (Africa, Middle East, and Turkey), and emerging markets across Latin America and Asia Pacific.

This role sits at the intersection of finance and AI in supply chain — with high agency, a direct line to the regional leaders defining Amazon's inventory strategy across some of its fastest-growing markets, and the autonomy to drive investment decisions as the financial voice shaping how these systems are built, extended, and scaled into new geographies.

We seek a candidate who is curious about how AI-driven autonomous systems shape business outcomes — comfortable interrogating model inputs, challenging assumptions, and asking "is this optimizing for the right thing?" You build trust quickly, partner closely with technical and business leaders, and know how to show up as a strategic equal at the table. You're comfortable operating at multiple altitudes — equally at ease with a data model as you are presenting to a VP.

Key job responsibilities
- Partner with Science and Product teams to develop financial strategies and drive controllership across RoW Automated Inventory Management systems, ensuring technology investments deliver maximum long-term free cash flow and measurable improvements to supply chain efficiency across markets ranging from early-stage builds in AMET to accelerating system maturity in Japan and India
- Navigate high degrees of ambiguity to build financial models that evaluate technology investments in markets at varying stages of maturity — from India, which is undergoing significant network transformation, to Japan, which is scaling rapidly, to AMET, a regional team in its second year of operation with significant growth ahead
- Conduct rigorous financial assessments of identified inventory defects — including entitlement analysis, estimation accuracy, and opportunity costs — translating findings into measurable P&L impact across the network
- Build and maintain metrics and audit mechanisms to evaluate algorithmic decision outcomes in RoW markets, flagging when models underperform and surfacing data-driven recommendations to course-correct
- Develop compelling narratives and financial analyses for regional and global executive reviews
- Leverage AI agents, GenAI assistants, and AI-powered data platforms to accelerate analysis, improve productivity, and continuously explore new ways to deliver higher-quality insights faster

A day in the life
This role sits at the intersection of finance, technology, and supply chain strategy. You'll spend your time working shoulder-to-shoulder with operations research scientists, product managers, and engineers — engaging in model design discussions, stress-testing algorithmic assumptions, and translating system behavior into financial narratives that drive strategic decisions. No two days look the same: one day you're building a financial framework to evaluate a new algorithm with an engineer; the next you're presenting findings in a VP-level review where the outcome shapes how Amazon invests in its inventory infrastructure.

About the team
This role sits at the intersection of finance, technology, and supply chain strategy across some of Amazon's most dynamic and fast-growing markets. You'll work shoulder-to-shoulder with regional operations research scientists, product managers, and engineers — engaging in model design discussions, stress-testing algorithmic assumptions, and translating system behavior into financial narratives that drive strategic decisions. The problems here are less defined than in mature markets — systems are being extended, launched, and adapted for the first time — which means you'll have real influence over how Amazon builds its inventory infrastructure in these regions. One day you're evaluating the financial case for a new system launch in India; the next you're shaping the financial framework for how Amazon expands its supply chain operations in AMET, or stress-testing assumptions behind Japan's next wave of automation. No two days look the same.
The culture is direct, curious, and intellectually honest. We work shoulder-to-shoulder with scientists, engineers, and product managers, ask hard questions, and show up as strategic equals.

Basic qualifications

- 5+ years of tax, finance or a related analytical field experience
- 4+ years of creating process improvements with automation and analysis experience
- 4+ years of dissecting financial data and identifying patterns that support business strategy experience
- Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)

Preferred qualifications

- 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience
- 6+ years of solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits) experience
- MBA, or CPA
- Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
- Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results
- Experience working within a global company, with multi-country responsibilities

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