Finance Manager, North America Amazon Logistics

AI in this role

Are you passionate about driving financial excellence across complex, cross-functional supply chain operations? Amazon Last Mile (AMZL) Central Programs Finance is seeking a Finance Manager to support our Cross Mile Continuous Improvement function. In this role, you'll be at the center of initiatives that eliminate defects and optimize performance across all supply chain lines of business. This unique position requires someone who can leverage data-driven insights and strong business partnerships to influence decision-making at multiple organizational levels.

You'll work on strategic projects that ensure initiatives achieve their expected value, building scalable tools and frameworks that help the business grow. This role offers the opportunity to make a meaningful impact by partnering with operations teams, driving cross-functional improvements, and using analytical rigor to solve complex problems. If you thrive in ambiguous environments and excel at translating financial insights into actionable business strategies, this is your chance to shape the future of supply chain finance at Amazon.

Key job responsibilities
- Monitor and analyze project performance across all supply chain lines of business, ensuring initiatives achieve their expected financial entitlement and identifying opportunities for optimization
- Build and maintain scalable financial tools, models, and reporting mechanisms that enable data-driven decision-making and support business growth
- Partner with operations teams to drive strategic initiatives across the supply chain, providing financial guidance and insights that influence cross-functional stakeholders using data and informal authority
- Conduct deep financial analysis to identify complex data integrity issues, evaluate program effectiveness, and deliver clear narratives and recommendations to senior leadership
- Develop and strengthen finance partnerships across multiple organizational levels, challenging assumptions when necessary and ensuring alignment between financial analyses and operational goals

A day in the life
Your day begins by checking the performance of active projects across the supply chain, identifying trends and potential issues that require attention. You'll collaborate closely with operations teams to understand their initiatives, determine where they impact the supply chain, and provide financial insights that help drive results. Much of your time is spent building analytical tools and AI-generated reports that help the business scale efficiently. You'll engage in strategic discussions, translating complex financial concepts into actionable recommendations for partners at various organizational levels. Throughout the day, you'll use data to influence decision-making across lines of business, ensuring that continuous improvement efforts deliver measurable value.

About the team
The AMZL Central Programs Finance team partners with the AMZL Central Programs organization, which manages critical functions including ACES, Driver Training, Learning and Development, Concessions, and Cross Mile Continuous Improvement. This role specifically supports the Cross Mile Continuous Improvement function, working to eliminate defects and drive operational excellence across Amazon's last mile delivery network.

Our team thrives on collaboration and innovation, working at the intersection of finance and operations to deliver results that matter. We're building the financial frameworks and tools that will scale Amazon's supply chain for years to come, and we're looking for analytical thinkers who can navigate complexity, influence without formal authority, and drive meaningful change across the organization.

Basic qualifications

- 5+ years of finance or a related analytical field experience
- Bachelor's degree

Preferred qualifications

- 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
- 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)
- 6+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience
- Knowledge of SQL/ETL
- Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results
- MBA, or CPA

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, TN, Nashville - 85,900.00 - 146,900.00 USD annually

How we rate this

Finance Manager, North America Amazon Logistics at Amazon rates 39 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.