Description Join one of Amazon's most impactful analytics organizations, empowering the world's largest Accounts Receivable and Payable departments through advanced data capabilities and real-time, actionable insights. Our Global Data Analytics (GDA) team is the trusted analytics partner for Finance Operations, providing data-driven solutions across global service centers and functions. We are custodians of data and metrics definitions, applying scientific methods to large-scale transactional processes. We're seeking an exceptional Business Intelligence Engineering Manager to lead and develop our team of 15 BIEs across multiple global locations. You'll drive engineering excellence in data visualization, pipeline development, and analytics solutions while managing one of the largest BI engineering practices in Finance Operations. Key Responsibilities - Lead and develop a global team of Business Intelligence Engineers, fostering technical excellence and career growth - Drive architectural decisions for data pipelines, semantic layer objects, and visualization solutions serving massive-scale AR/AP operations - Spearhead the migration from Tableau to QuickSight while ensuring business continuity - Establish and evolve BIE best practices, particularly in AWS native technologies and AI integration - Provide technical leadership in scripting excellence and data pipeline optimization - Partner with business analysts and the Science & AI team to deliver high-impact solutions - Develop and execute training programs for the broader analytics community Why Join Us? - Lead a team at the heart of Amazon's financial operations - Drive innovation using leading-edge AWS technologies and AI - Shape the future of financial analytics at global scale - Develop your career at one of the world's most innovative companies - Work with diverse, talented teams across the globe Basic Qualifications - 7+ years of business intelligence and analytics experience - 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience - 7+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software Preferred Qualifications - 4+ years of working with very large data warehousing environment experience Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.