Program Manager, Amazon Private Brands Global Sourcing

Are you passionate about building a pipeline of future leaders within a fast-growing, highly innovative global business? Do you thrive at the intersection of operational excellence, cutting-edge technology, and data-driven business analysis, including Generative AI? Are you excited by the opportunity to shape Amazon's Private Brands business alongside a diverse, global team?If so, the Amazon Private Brands Global Sourcing Team wants to hear from you.We are looking for a driven and innovative Program Manager with a passion for holistic product lifecycle management, business analysis, and AI-powered operations. In this role, you will lead on-the-ground operational strategy across diverse product categories — from product launch through growth and continuous improvement — leveraging the latest AI technologies and deep business <insights.You> will harness business analysis to identify market trends, uncover operational inefficiencies, and drive data-informed decision-making across the product lifecycle. In parallel, you will contribute to AI development initiatives — collaborating with technology teams to design, pilot, and scale AI and Generative AI solutions that automate workflows, enhance forecasting, and unlock new value across the sourcing <ecosystem.You> will partner closely with cross-functional teams including Business, Technology, Marketing, and Quality, operating in a dynamic environment that demands strategic vision, analytical rigor, and hands-on execution. The ideal candidate blends strong program management skills with a passion for translating complex data into actionable strategies and a curiosity for building AI-driven tools that redefine how we work.Key job responsibilitiesProduct Lifecycle Management & Data-Driven Strategy Develop and execute end-to-end operational strategies for product launches and growth initiatives, grounded in rigorous business analysis. Leverage data modeling, market intelligence, and AI-powered forecasting to inform category planning, optimize resource allocation, and accelerate time-to-market. Continuously monitor product performance using analytical frameworks to identify growth levers and drive iterative improvements across the lifecycle.Problem Solving & Intelligent Decision-Making Apply strong analytical skills to quickly identify and break down complex problems, evaluate trade-offs, and make data-informed decisions under tight timelines. Utilize advanced business analysis techniques — including root cause analysis, scenario modeling, and predictive analytics — to surface actionable insights from large-scale operational data. Explore and integrate AI/GenAI-assisted diagnostic tools to enhance the speed and accuracy of problem identification and resolution.Stakeholder Communication & Insight Storytelling Build effective communication frameworks that keep global stakeholders, partner teams, and leadership aligned, informed, and engaged. Transform complex business analysis outputs and AI-generated insights into clear, compelling narratives and visual dashboards that drive strategic alignment. Champion a culture of data transparency by democratizing access to analytical tools and AI-driven reporting across cross-functional teams.Scaled Solutions, GenAI & Automation Development Proactively identify opportunities to drive scalable operational improvements by exploring and adopting GenAI and automation solutions. Partner with technology and data science teams to co-develop, pilot, and scale AI-powered tools — including intelligent workflow automation, natural language processing applications, and machine learning models — that streamline sourcing operations, reduce manual effort, and create lasting competitive advantages. Own the roadmap for integrating AI capabilities into day-to-day operations, measuring impact through clearly defined KPIs and business outcomes.