Finance Manager, AWS GenAI Finance

Key job responsibilities

• Take the lead in financial planning; build complex financial models and analytical tools to measure overall financial performance
• Owning the GenAI services end to end, and influence business decisions that drive revenue and/or capital expenditures
• Identify opportunities for efficiency improvements including automation and coordination with upstream and downstream organizations.
• Partner with finance teams across AWS to standardize, streamline, and prioritize improvements, remove roadblocks, and increase the reliability and efficiency of reporting.

Basic Qualifications

• 5+ years of tax, finance or a related analytical field experience
• Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science), or Bachelor's degree and 5+ years of quantitative role (engineering, process re-engineering, quality assurance) experience

Preferred Qualifications

• Knowledge of SQL/ETL
• MBA, or CPA
• 6+ years of applying key financial performance indicators (KPIs) to analyses experience
• 6+ years of creating process improvements with automation and analysis experience
• 6+ years of building financial and operational reports/data sets that inform business decision-making experience
• 5+ years of participating in continuous improvement projects in your team to scale and improve controllership with measurable results experience
• 5+ years of identifying incomplete or inaccurate data, identifying the root cause and creating/implementing an escalation plan experience
• 5+ 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)
• Experience delivering forecasting, budgeting, and variance analysis, and data interpretation of results