Senior Manager of Data Engineering & Business Intelligence, Alexa Audio

Amazon is hiring a Senior Manager of Data Engineering & Business Intelligence, Alexa Audio in Seattle, United States. It pays $202k-$274k a year and Level rates it ; you can apply on Amazon.

Level's read on this job

Level rates this data engineer role Little AI ●○○○: aI is not part of the work.
Pay on this posting starts 38% higher than the typical data engineer posting on Level.
The posting mentions AWS, ETL and data engineering among its tools and skills.
Level classes it as a senior role.
Amazon has 20,000+ other open roles on Level.

AI in this role

Senior Manager of Data Engineering and Business Intelligence leading data infrastructure and pipelines for Alexa's global audio experiences.

AWSETL

data-engineeringbusiness-intelligencedata-modelingteam-management

Alexa Audio manages the end-to-end customer listening experience for Alexa+ customers worldwide — across all endpoints, in all geos, and
for Alexa's 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 Audio's 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 Audio's 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 Audio's 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 Alexa's 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.

Basic qualifications

- 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

Preferred qualifications

- 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 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 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 https://amazon.jobs/en/benefits.

USA, WA, Seattle - 202,300.00 - 273,700.00 USD annually

How we rate this

Senior Manager of Data Engineering & Business Intelligence, Alexa Audio at Amazon rates 25 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Manager of Data Engineering & Business Intelligence, Alexa Audio is an open job at Amazon.
Level rates this role AI Level 1 of 4: Little AI.
The listed salary is $202k-$274k a year.
The role is based in US, WA, Seattle.
The job was posted on May 5, 2026.
Seniority: senior.
Applications are handled by Amazon. Apply on Amazon

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringBusiness IntelligenceData ModelingTeam ManagementAWSETL

Also common in data engineer jobs at this level

SQL Spark Azure Databricks Airflow Google Cloud

Pay

This job starts at: $202k
Typical data engineer job: $146k

This posting starts 38% above the typical data engineer job. See data engineer jobs

Questions you could be asked

Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where business intelligence was part of your work. What did you do?
Tell me about a project where data modeling was part of your work. What did you do?
Tell me about a project where team management was part of your work. What did you do?
Walk me through how you've used AWS in your day-to-day work.

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List these exact terms on your resume: Data Engineering, Business Intelligence, Data Modeling, Team Management, and AWS. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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