Finance Manager, Alexa Enterprise Frames

Amazon Amazon · Big Tech · Seattle, WA · Finance & Accounting

Finance Manager for Amazon's Alexa Enterprise Frames team, an AI-powered smart glasses platform for delivery associates. The role involves financial modeling, analysis, and strategic guidance for a business at the intersection of wearable hardware, AI/ML, and logistics.

What you'd actually do

  1. Building financial models for new business concepts
  2. Presenting financial summaries and business insights to senior management
  3. Developing scalable and efficient financial processes that support a rapidly growing business
  4. Establishing and maintaining operating and business metrics
  5. Leading short- and long-term financial planning

Skills

Required

  • 5+ years of tax, finance or a related analytical field experience
  • 5+ years of multiple finance and accounting roles experience
  • Bachelor's degree in BI, finance, engineering, statistics, computer science, mathematics, finance or equivalent quantitative field
  • 5+ years of leading cross-functional initiatives that drive financial performance and strategy experience
  • 5+ years of dissecting financial data and identifying patterns that support business strategy experience

Nice to have

  • 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

What the JD emphasized

  • rigorous analysis
  • strategic guidance
  • wearable hardware
  • AI/ML innovation
  • last-mile logistics
  • end-to-end financial support
  • complex business challenges
  • proven impact on business