Finance Manager - Inventory Optimization, SCOT AIM Finance
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 of our Automated Inventory Management portfolio — a suite of systems that determine whether the right inventory is available, in the right place, in the right condition, across Amazon's global fulfillment network.
This role sits at the intersection of finance and AI in supply chain — with high agency, a direct line to the thought leaders defining Amazon's worldwide supply chain strategy, and the autonomy to drive investment decisions as the financial voice shaping how these systems are built, evaluated, and scaled.
Key job responsibilities
Partner with Science and Product teams to develop financial strategies and drive controllership across our Automated Inventory Management systems, ensuring technology investments deliver maximum long-term free cash flow and measurable improvements to supply chain efficiency
Navigate high degrees of ambiguity to build financial models that evaluate multi-million dollar technology investments and their impact on inventory placement, availability, and cost to serve
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, flagging when models underperform and surfacing data-driven recommendations to course-correct
Develop compelling narratives and financial analyses for 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 work shoulder-to-shoulder with operations research scientists, product managers, and engineers — as well as cross-functional partners across Operations Finance, Inventory Planning, and country-specific teams — 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
The AIM Finance team is a small, high-impact group embedded within Amazon's Supply Chain Optimization Technologies organization. We serve as the financial backbone for some of Amazon's most sophisticated AI-driven systems — covering inventory availability, placement efficiency, selection economics, and inbound performance across global markets. The team operates with significant autonomy, high senior leadership exposure, and a mandate to think strategically, not just report. We work closely with operations research scientists, product managers, and supply chain leaders — and we actively invest in AI and GenAI tools to raise the quality and speed of our own work. If you want to do finance differently, this is the team.
Basic Qualifications
5+ years of tax, finance or a related analytical field experience
Bachelor's or Master's degree in Finance, Accounting, Business, Economics, or a highly analytical field (e.g., Engineering, Math, Computer Science) and 5+ years of finance experience, or 3+ years of finance experience with a Master’s degree
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
Knowledge of SQL/ETL
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