Finance Manager, WW Fulfillment , SPS Finance

Finance Manager, WW Fulfillment by Amazon, SPS Finance

Job :  |  Services LLC

Amazon’s World-Wide Fulfillment By Amazon (WW FBA) organization is looking for an innovative, results-oriented, and strategic Finance Manager to partner with the WW FBA Product, Tech and Operations leadership team. This Finance professional will help steward our growth into this complex but fast-growing space as a strategic and operationally-minded leader who is not afraid of ambiguity and challenges the status quo.

• Oversee financial reporting for your business area. Understand input drivers and validate data integrity to influence strategic decision-making and long-range planning. Leverage data to surface disruptive ideas and deliver actionable guidance to business leaders globally.
• Prioritize Controllership by identifying, resolving, or providing guidance on complex data integrity issues. Strengthen controls to mitigate financial risk and reinforce frugality.
• Educate business partners on financial and non-financial trade-offs. Exercise sound judgment in ambiguous environments where data may be scarce or difficult to procure.
• Communicate data clearly, concisely, and unambiguously—both written and verbal. Adapt style across audiences to articulate complex finance issues with precision. Your communications drive critical business decisions.
• Collect and analyze data to develop insightful reporting that drives business performance improvement and cost reduction.
• Have Backbone;
  Disagree and Commit to foster constructive dialogue, harmonize conflicting views, and drive decisions. Serve as a positive, collaborative influencer who models operational excellence and efficiency for new team members.

The WW FBA Inventory Optimization Services Finance team is a specialized finance team embedded within the SPS Finance (WW Stores Finance) organization. We provide critical financial support for key technology and product initiatives across FBA, focusing on streamlining the SPS Cost-to-Serve Monthly Business Review (M ) process and developing data-driven insights that connect FBA operational inputs to financial outcomes. We serve as the financial bridge between technical teams and business stakeholders, translating complex technical investments into clear financial narratives that drive strategic decision-making.

In close partnership with Product and Tech teams, we ensure financial accountability, optimize resource allocation, and identify operational efficiency opportunities.

To be the trusted financial partners that enable data-driven decision-making across FBA organizations. We strive to develop innovative financial models and insights that illuminate the relationship between operational metrics and financial performance, empowering leadership with actionable financial intelligence that drives profitable growth and operational excellence.

• 5+ years of tax, finance or a related analytical field experience
• 6+ years of applying key financial performance indicators (KPIs) to analyses experience
• Bachelor's degree in finance, accounting, business, economics, or a related analytical field (e.g., engineering, math, computer science)
• 5+ years of dissecting financial data and identifying patterns that support business strategy experience
• 4+ years of leading cross-functional initiatives that drive financial performance and strategy experience

• 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

Amazon is an equal opportunity…