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Amazon India Limited's SCOT AIM Finance team seeks a Finance Manager to own the financial strategy for Rest of World Automated Inventory Management. You will partner with senior leaders across India, AMET, Japan, and other fast-growing markets to guide investments and ensure value from AI-enabled systems.
In this role you will build models, challenge assumptions, and present financial narratives to VPs and directors, balancing technical insight with business impact while advancing Amazon's
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.
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.
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.
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.
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Experience Level Mid Level