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This position will be located at our brand-new home office in Bentonville, Arkansas. Walmart is the largest retail corporation in the world and the Global Marketplace & eCommerce Compliance team is disrupting and revolutionizing the establishment by being more data driven in their analysis and integrating Machine Learning algorithms to get a more comprehensive understanding of details missed by humans. We extend our reach to 4000 stores across US for testing and deploying sophisticated models of all kinds for every facet or step during the retail supply chain lifecycle. The sophistication afforded by machine learning algorithms allows for more segmentation, which allows for more detailed and descriptive insights. In attempting this, we are also reshaping the attitude of the business towards adopting and trusting AI to be most impactful based on the amount of historical data and investment required. There is a wide gamut of challenges, and the obstacles are numerous to shift the thinking between solving for customers' needs in physical stores versus e-commerce. The challenge of employing ML techniques in retail at such a wide scale, across varied categories of items, presents a great opportunity for creative solutions. The GMEC Monitoring and Reporting team reviews large volumes of data and provides insights to define and develop reporting, controls, monitoring, testing, and risk management programs. The Senior Manager, Global Marketplace & eCommerce Compliance (GMEC), Monitoring and Reporting role will lead a team of data analysts and work closely with compliance, program management, product, and technology (engineering and data science) teams to mitigate global marketplace risk (e.g., seller identity, item compliance and intellectual property). The Senior Manager role is responsible for providing insights to help define, enforce and promote policies, programs and products as part of Global Marketplace & eCommerce Compliance. The goals of this team are to generate tangible insights from data collected across multiple channels and to use algorithms and models that can process and learn from these huge datasets to make actionable predictions and recommendations.