Finance Manager, AWS Applied AI Solutions

Key job responsibilities

• Develop and maintain deep expertise across key business areas by staying current on initiatives, goals, challenges, and opportunities.
• Own financial reporting, KPI tracking, and core Rhythm of Business (RoB) mechanisms, ensuring a high bar for accuracy, controllership, and alignment.
• Perform advanced financial analysis and modeling to evaluate revenue opportunities, cost structures, and investment trade-offs.
• Serve as a bridge between business and finance by synthesizing inputs across stakeholders and translating data into clear, actionable insights that accelerate decision-making.
• Partner with the business to design and implement key performance indicators and reporting solutions that enable quicker, more effective decisions.
• Identify, quantify, and drive operational and cost-saving initiatives focused on productivity, efficiency, and quality of data across solutions.

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
• 5+ years of dissecting financial data and identifying patterns that support business strategy experience
• 5+ years of leading cross-functional initiatives that drive financial performance and strategy experience

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
• 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