Finance Transformation Lead - AI-Driven Analytics

Amazon

Arlington (VA)

On-site

USD 95,000 - 163,000

Full time

2 days ago
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Job summary

Amazon Finance Manager, IXD+, North American Customer Fulfillment in Arlington, VA, focuses on AI-enabled automation, standardization, and strategic financial insights to optimize supply chain operations.

You'll develop scalable controllership frameworks and translate complex metrics into actionable decisions, partnering with cross-functional teams to drive rapid, data-driven improvements in a fast-paced environment.

Qualifications

  • 5+ years of tax, finance or a related analytical field experience.
  • Bachelor's degree.
  • 6+ years identifying incomplete or inaccurate data, root cause, and escalation plans.
  • 6+ years delivering forecasting, budgeting, variance analysis and data interpretation with impact.
  • Knowledge of SQL/ETL and large-scale data mining and reporting tools.

Responsibilities

  • Analyze operational data to provide financial insights that optimize costs and drive business performance.
  • Develop and utilize AI-powered dashboards for anomaly detection and trend analysis.
  • Partner with operations teams to validate business case assumptions and track performance metrics.
  • Conduct risk assessments and implement improvements to remediate gaps and ensure reporting accuracy.
  • Collaborate across finance, operations, supply chain, and technology to standardize investment evaluation processes.

Skills

Financial analysis
Data interpretation
AI familiarity
Strategic thinking
Cross-functional collaboration

Education

MBA
CPA

Tools

SQL/ETL
MS Access
Cognos
Essbase
Oracle
SAP

Job description

Amazon Finance Manager, IXD+, North American Customer Fulfillment in Arlington, VA, focuses on AI-enabled automation, standardization, and strategic financial insights to optimize supply chain operations.

You'll develop scalable controllership frameworks and translate complex metrics into actionable decisions, partnering with cross-functional teams to drive rapid, data-driven improvements in a fast-paced environment.

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