Job Description

DESCRIPTION

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The Business Intelligence Engineering Manager serves as a transformative leader who orchestrates the convergence of data innovation and business strategy across Amazon's global IT operations. This role oversees the development and maintenance of critical data assets serving multiple business units, including: IT Services, IT Product and Development, Tech Sourcing (TSI), Enterprise Engineering



The role manages an extensive data ecosystem including: Data warehouse and Data lake environments, multiple AWS services like Athena, S3, Glue, RedShift, Neptune, reporting tools like Q, Tableau and Grafana.



The role embodies Amazon's Leadership Principles through:



Earn Trust: Serves as mentor and guide, fostering technical excellence environments Learn and Be Curious: Stays at the forefront of BI technologies, particularly supporting System Intrinsic AI initiatives Think Big: Architects enterprise-scale BI solutions driving substantial business value Ownership: Develops comprehensive technical roadmaps and ensures operational readiness Dive Deep & Invent and Simplify: Establishes robust data quality frameworks and standardizes processes for efficiency Customer Obsession: Delivers unified data and reporting solutions meeting diverse IT ecosystem needs Bias for Action: Maintains operational excellence through efficient resource planning and project delivery Frugality: Optimizes operations and identifies automation opportunities


This role represents the pinnacle of technical leadership in business intelligence within Amazon's IT organization, requiring:



Technical expertise in managing complex data platforms Leadership acumen for team development and stakeholder management Strategic thinking to drive data platform evolution Ability to translate complex business requirements into actionable technical solutions


The BIE Manager exists at the intersection of technology and business strategy, driving innovation while maintaining focus on delivering customer value through data-driven insights across the entire IT Services landscape.

BASIC QUALIFICATIONS

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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 Experience with SQL Experience with ETL 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

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4+ years of working with very large data warehousing environment experience 10+ 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


Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.



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.



The base salary for this position ranges from $110,100/year up to $183,900/year. Salary is based on a number of factors and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. Applicants should apply via our internal or external career site.