Finance Manager, Inbound Ops, North American Customer Fulfillment
- Arlington, United States
Posted 7 days ago
About the role
DESCRIPTION
Join our team as a Finance Manager sitting at the intersection of finance, operations, and technology transformation within the IXD+ network. You will leverage data analytics, AI proficiency, and financial acumen to drive standardization and automation across finance processes, reducing manual work by 40-50%. This role offers a unique opportunity to transform traditional financial reporting through AI-enabled automation while providing strategic insights that optimize supply chain operations.
In this position, you will develop scalable financial controllership frameworks that grow independently of building count and support the transformation from a site-centric to hub-based structure. You'll translate complex operational metrics into actionable financial insights, balance standardization with network-specific needs, and contribute to AI-enabled finance transformation initiatives that have tangible business impact. If you thrive in an environment where speed matters and continuous improvement is expected, this role offers the perfect balance of strategic thinking and tactical execution.
Key job responsibilities
- Analyze operational data to provide financial insights that optimize costs and drive business performance, applying your understanding of Amazon's financial processes and internal controls to existing products and tools.
- Develop and utilize AI-powered dashboards for anomaly detection and trend analysis, transforming complex data into clear, actionable insights for senior leadership.
- Partner with operations teams to validate business case assumptions, track performance metrics, and contribute to automated reporting systems that reduce manual work by 40-50%.
- Conduct risk assessments and implement improvements to remediate gaps, ensuring reporting accuracy by diving deep into data discrepancies and executing fixes.
- Collaborate across finance, operations, supply chain, and technology teams to develop standardized investment evaluation processes and financial playbooks that scale independently of building count.
A day in the life
Your day begins with analyzing operational data to identify cost optimization opportunities across the Inbound Operations network. You'll spend time developing or refining AI-powered dashboards that automatically detect anomalies and visualize trends. Throughout the day, you'll partner with operations teams to validate business assumptions, contribute to automated reporting systems, and participate in cross-functional councils where you'll provide financial perspectives on placement and quality strategy decisions. You'll balance your analytical work with collaborative sessions, driving data quality improvements and system integration while validating productivity metrics.
About the team
Our team supports multiple different networks, which serve as the entry point and placement engine of volume into the Amazon Fulfillment network, playing a critical role as financial advocates and business partners. We design, develop, and maintain performance measurements and reporting on strategic input drivers to continuously improve the economics of the business. Team members partner closely with a broad range of Senior Leaders in Finance, Operations, Supply Chain, Engineering, and Technology.
The team culture emphasizes data-driven decision making, continuous improvement, and cross-functional collaboration. We're transforming traditional finance functions through technology and process excellence, focusing on controllership as our top priority while driving innovation that enables our networks to scale efficiently.
BASIC QUALIFICATIONS
- 5+ years of tax, finance or a related analytical field experience
- Bachelor'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
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, NY, New York - 104,900.00 - 179,500.00 USD annually
USA, TN, Nashville - 85,900.00 - 146,900.00 USD annually
USA, TX, Irving - 95,400.00 - 163,200.00 USD annually
USA, VA, Arlington - 95,400.00 - 163,200.00 USD annually
USA, WA, Bellevue - 95,400.00 - 163,200.00 USD annually