Senior Manager of Data Engineering & Business Intelligence, Alexa Audio

Alexa Audio manages the end-to-end customer listening experience for Alexa customers worldwide across all endpoints in all geos and
for Alexas global Audio providers including Amazon Music Apple Music Spotify Deezer and more. Our team ensures that hundreds of
millions of customers can discover play and enjoy audio content seamlessly through Alexa.

Our team of Product Managers Technical Program Managers Data Engineers and Business Intelligence Engineers work together to deliver
smarter more personalized and more proactive audio experiences. The data that powers our decisions from listening hours and content
performance to quality metrics discovery and partner analytics must be available efficient and trusted.

As a Sr. Manager of Data Engineering and Business Intelligence you will lead a team of 6 Data Engineers and BIEs responsible for the data
infrastructure pipelines and reporting that underpin Alexa Audios most critical business metrics. You will increase data availability
and efficiency improve data confidence and reliability and scale existing systems or build net-new infrastructure to support the needs of
a rapidly evolving business. You will own end-to-end analytical solutions that are highly available scalable stable secure and cost-
effective. You are passionate about working with large-scale datasets and have experience with the organization and curation of data for
analytics. You have a strategic long-term view on architecting advanced data ecosystems and the ability to integrate data systems with AWS
tools and services to support a variety of customer use cases.

In this role you have the opportunity to:

- Design and scale the data infrastructure that powers Alexa Audios key business metrics across all content types (music radio podcasts
audiobooks generative audio) endpoints geos and providers
- Implement data ingestion routines both real-time and batch using best practices in data modeling and ETL/ELT processes leveraging
AWS technologies and big data tools
- Gather business and functional requirements from product leadership and partner teams and translate them into robust scalable
operable solutions with flexible and adaptable data architecture
- Continually improve ongoing reporting and analysis processes automating or simplifying self-service modeling and production support for
stakeholders


Key job responsibilities
- Delivery of robust scalable data solutions supporting Alexa Audios data infrastructure across all content verticals endpoints and geos
- Enhancement of reporting and analytics capabilities serving Alexa Audio Product Directors Technical Directors Product Management Partner Management and Central BI/Finance teams
- Leadership in data governance quality standards and SLA enforcement across the Audio data ecosystem
- Own technical delivery and team leadership for development and maintenance of scalable ETL/big data pipelines semantic layers and dashboard data models
- Own and evolve WBR/MBR reporting self-service analytics and ad hoc deep-dive capabilities
- Collaborate with Product Management BI teams and stakeholders to prioritize work aligned with Alexa Audio business goals
- Establish best practices for data engineering including code reviews testing monitoring and documentation
- Drive team growth through mentoring coaching and career development
- Reduce time-to-insight for product leadership and partner teams by increasing data availability and efficiency
- Ensure stakeholders trust the numbers they use to make decisions by improving data confidence and reliability

About the team
Alexa Audio manages the end-to-end customer listening experience for Alexa customers worldwide across all endpoints in all geos and
for Alexas global Audio providers including Amazon Music Apple Music Spotify Deezer and more. Our team of Product Managers Technical
Program Managers Data Engineers and Business Intelligence Engineers work together to deliver the data infrastructure insights and
reporting that power how Alexa Audio understands its business measures its customer experience and makes decisions. We are at an
inflection point: with the launch of Alexa we are delivering smarter more personalized and more proactive audio experiences to
customers worldwide and the decisions we make depend on data we can trust access quickly and act on confidently.

- 8 years of data engineering experience
- Experience with data modeling warehousing and building ETL pipelines
- Experience in at least one modern scripting or programming language such as Python Java Scala or NodeJS
- 5 years of delivering results managing a business intelligence or analytics team including employee development and performance management experience

- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience operating highly available distributed systems of data extraction ingestion and processing of large data sets or experience with software development lifecycle
- Experience that includes strong analytical skills attention to detail and effective communication abilities or experience in any Bigdata architecture and experience in managing and troublshooting network
- Experience working directly with business stakeholders to translate between data and business needs

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience qualifications and location. Amazon also offers comprehensive benefits including health insurance (medical dental vision prescription Basic Life & AD&D insurance and option for Supplemental life plans EAP Mental Health Support Medical Advice Line Flexible Spending Accounts Adoption and Surrogacy Reimbursement coverage) 401(k) matching paid time off and parental leave. Learn more about our benefits at WA Seattle - 202300.00 - 273700.00 USD annually