Are you passionate about diving deep into data and engineering scalable metrics that drive continuous improvement across Amazon’s global delivery operations? Do you excel at solving complex problems using data-driven insights and building solutions that scale with growing worldwide demand? Are you excited to build AI-ready data infrastructure and drive AI-enabled insights that power smarter, faster decision-making across Amazon Transportation? If so, the TOM Central Program Data Infrastructure team is the place for you. We are building the world’s fastest, most reliable, and lowest-cost transportation network—giving customers greater control and visibility—and we are looking for a top-notch Senior Business Intelligence Engineer to help lead this mission. As a Senior Business Intelligence Engineer, you operate within one of the world’s most complex data environments, owning the design and evolution of scalable, high-impact, and AI-ready data infrastructure. You bring deep expertise in data modeling and large-scale dataset design, building reliable, well-governed data foundations that support both analytics and AI/ML use cases. You partner with business and technical leaders to define ambiguous problem spaces, shape key business questions, and drive AI-enabled insights that improve TOM Operations efficiency, automation, and decision-making. You lead the development of robust, scalable, and cost-efficient data pipelines, ensuring high data quality, accessibility, and operational excellence across the end-to-end data lifecycle. You continuously evolve data systems to better support AI-driven analytics and insight generation, enabling faster and smarter business decisions. As a technical leader, you influence cross-team design decisions, mentor engineers, and build reusable data solutions that unlock AI-powered insights at scale. Above all, you are passionate about transforming data into intelligence—driving AI-enabled insights that power operational excellence and data-informed decisions across the organization.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed