Come join the Amazon Key team and help transform the customer delivery experience at scale! Key for Business (KFB) is our patented building access technology that supports Amazon Last Mile operations across various regions. We are seeking a Business Intelligence Engineering (BIE) Manager who is passionate about leveraging data to drive insights, optimize operations, and support strategic decision-making.

The ideal candidate will be a results-oriented leader who can thrive in an ambiguous and fast-paced business landscape. You should be analytically strong, data-driven, and customer-obsessed, with a proven ability to translate complex data into actionable insights. You will manage a high-performing team of Business Intelligence Engineers (BIEs), Data Engineers (DEs), and Analysts to build scalable reporting and analytics solutions that enable better decision-making across the organization.

As a leader, you will own key business metrics, drive automation, and standardize reporting frameworks to support Amazon Key’s growth. You should have excellent business and communication skills, strong stakeholder management abilities, and a deep understanding of how data can improve both customer experience and operational efficiency.

This position is open in Seattle,WA and Austin, TX. Candidates must be based in or willing to relocate to one of these locations.

Key Job Responsibilities:
    •    Team Leadership: Hire, develop, and lead a team of Business Intelligence Engineers (BIEs), Data Engineers (DEs), and Business/Data Analysts.
    •    Stakeholder Collaboration: Engage with senior leadership and cross-functional teams to understand data needs and provide scalable BI solutions.
    •    Data Strategy & Metrics: Define, track, and maintain key business metrics to monitor operational performance and drive business decisions.
    •    BI & Reporting Solutions: Design, implement, and support automated dashboards, reports, and self-service BI tools to democratize data across teams.
    •    Data Quality & Governance: Ensure data integrity, accuracy, and consistency in all reporting and analytics frameworks.
    •    Process Optimization: Drive automation and operational efficiencies in reporting pipelines, eliminating manual processes where possible.
    •    Deep-Dive Analytics: Conduct deep dives into large, complex datasets to identify trends, diagnose problems, and uncover opportunities for process improvement.
    •    Technical Collaboration: Partner with Data Engineering, Hardware, and Software Development teams to enable better data capture, integration, and storage solutions.
    •    Business Reviews: Own reporting for Monthly Business Reviews (MBR), Quarterly Business Reviews (QBR), and Weekly Business Reports (WBR).
    •    Data-Driven Decision Making: Leverage data and statistical analysis to drive recommendations that improve customer experience and operational efficiency.

Preferred Qualifications:
    •    Experience leading BI & analytics teams in a fast-paced, high-growth environment.
    •    Strong knowledge of SQL, data modeling, ETL pipelines, and business intelligence tools (e.g., Tableau, QuickSight, Power BI).
    •    Experience with big data technologies (e.g., Redshift, Spark, Athena, Snowflake) is a plus.
    •    Strong communication and stakeholder management skills, with the ability to influence leadership decisions through data.
    •    Passion for building scalable BI solutions that empower non-technical users to make data-driven decisions.