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: - 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: - 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
[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.
