Senior Business Intelligence Engineer, Devices Demand Science Optimization

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About this role

Senior Business Intelligence Engineer, Devices Demand Science Optimization Seattle, Washington, USA We're looking for a Senior Business Intelligence Engineer (BIE) to build AI-powered data products for Amazon Devices. You'll design and maintain MCP servers and semantic layers that make our core tables accessible to AI agents, automate daily business workflows (WBR narratives, flashes, executive summaries) using GenAI, and architect scalable data pipelines on AWS. This role sits at the intersection of analytics, data engineering, AI, and product development - you'll define how machines understand our business data and scale that intelligence across multiple BI teams. Key job responsibilities - Design, build, and maintain scalable core data tables and pipelines that serve as the single source of truth for Devices sales, inventory, pricing and demand planning metrics. - Automate reporting workflows and data processes to reduce manual effort and improve speed, accuracy, and reliability of insights delivered to stakeholders. - Build and enhance QuickSuite dashboards that provide self service analytics for product line leaders, finance, and supply chain teams. - Develop contextual data layers that connect disparate data sources into unified, business ready datasets, enabling deeper analysis and cross functional visibility. - Build and integrate AI powered features into BI solutions, including intelligent agents, automated callouts, and generative AI driven summaries that surface key insights proactively. - Implement data governance frameworks and quality control mechanisms, including automated validation, monitoring, and alerting to ensure data accuracy and reliability across all assets. - Design and manage pipeline orchestration to coordinate data ingestion, transformation,

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