BusinessAnalyticsManager,RBSDefectReduction

Drive Amazon's defect elimination through AI-powered detection pipelines that scale coverage across millions of product returns, translating data into upstream interventions that prevent defects before they reach customers. Lead a team of Business Analysts and Business Intelligence Engineers to prototype ML models identifying defect patterns across product catalog, customer returns, and seller feedback—building analytical frameworks that reduce investigation time and deliver measurable cost savings. Key job responsibilities Defect Detection & Root Cause Pipeline Establish roadmap for scaling defect detection coverage and set KPIs for accuracy Prototype ML/AI models to identify new defect patterns across product families Build analytical frameworks that reduce investigation time and ensure auditability Create self-service dashboards with data quality standards for detection accuracy Team Development & Technical Leadership Hire and develop specialists in pattern recognition and root cause analysis Create technical growth paths from exploratory analysis to AI-powered classification Establish best practices for analyzing large-scale returns data Collaborate with engineering, data, and product teams to prioritize investigations and validate findings Business Impact & Stakeholder Engagement Present data-driven defect identification approaches in business reviews showing multi-million dollar cost saving opportunities Influence senior leadership on prioritizing high-impact defect categories Product Launch Support Define requirements for defect identification tools from a returns reduction perspective Create business requirement documents with success metrics and governance frameworks Track and validate product performance metrics, document ROI, and monitor feature adoption About the team Our mission is to eliminate defects that cause customer returns, improving the shopping experience while reducing costs across Amazon's fulfillment network. We combine deep-dive analysis wi