Senior Manager – Data Engineering and Business Analytics , CDSA - Capacity Delivery, Supportability and Analytics

AWS Infrastructure Services owns the design planning delivery and operation of all AWS global other words were the people who keep the cloud running. We support all AWS data centers and all of the servers storage networking power and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems with thousands of variables impacting the supply chain and were looking for talented people who want to help.

Youll join a diverse team of software hardware and network engineers supply chain specialists security experts operations managers and other vital roles. Youll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And youll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion.

The AWS Capacity Delivery Supportability and Analytics Team (CDSA) team within AIS is looking for a Sr. Manager - Data Engineering and Business Analytics. The CDSA team is responsible for infrastructure supply and demand strategy for AWSs global GenAI and non-GenAI infrastructure footprint spanning 105 availability zones 33 geographical regions and serving over 245 countries and territories. The team drives compute and datacenter supply planning infrastructure capacity delivery and GenAI supportability to ensure scalable cloud services for millions of AWS customers.

Data-driven decision-making is at the core of Amazons culture. Your work will directly impact the decisions and strategy of the entire AIS org and our customers. We are looking for a Sr. Manager - Data Engineering and Business Analytics to drive the data infrastructure and business intelligence solutions for AWS supply planning capacity delivery and GenAI supportability. You will be responsible for managing teams that build and maintain our Data Lake and Data Warehouse Systems which is being built using a serverless architecture with native AWS components including Redshift Spectrum Athena S3 Lambda Glue EMR Kinesis SNS CloudWatch and more. You will also be responsible for building new business intelligence solutions end-to-end. You will create reporting and analysis that the business will use to measure all aspects of operational performance and cost and drive both incremental improvement to existing tools and processes and large-scale changes in our tools user interfaces processes and overall business organization. The successful candidate will demonstrate strong business acumen experience in developing reporting and analytical infrastructures strong communication skills executive presence and an ability to work effectively with cross functional teams in a fast-paced environment and highly ambiguous work space.

The charter will involve managing diverse teams of business intelligence engineers data engineers and system development engineers. You are an experienced leader who will have demonstrated leading large cross-functional and cross-organizational projects. An ability to take large technically complex projects and break them down into manageable pieces develop actionable plans and successfully deliver them are expected. This role is inherently cross-functional and requires the ability to think big and collaborate with others as you work closely with teams across AWS Infrastructure. The shifting constraints and critical nature of the role requires someone who maintains momentum clarity of vision and adaptability while communicating effectively across a diverse set of customers partners and leadership. Communication with executive audiences is a regular occurrence. High judgment negotiation skills ability to influence without authority analytical talent technical aptitude and leadership are therefore essential for success in this role.




Key job responsibilities
Guide data engineering business intelligence engineering and system engineering teams on implementing the systems and datasets required for the various elements of the supply planning capacity delivery and Gen
AI supportability processes while also directly managing/dialing in new programs until such a time as it makes sense to automate.
Create product strategy and feature roadmap via Amazon Working Backwards documents.
Provide thought-leadership to Amazon leadership and business partners delivering solutions to strategic problems.
Communicate performance against goals and objectives through narratives and business reviews.
Lead broader initiatives as assigned to further advance the effectiveness of the organization.
Manage a data engineering business intelligence engineering and system engineering team of 50


About the team
*Why AWS*
Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

*Diverse Experiences*
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

*Work/Life Balance*
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve in the cloud.

*Inclusive Team Culture*
Here at AWS its in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences inspire us to never stop embracing our uniqueness.

*Mentorship and Career Growth*
Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledge-sharing mentorship and other career-advancing resources here to help you develop into a better-rounded professional.



- Bachelors degree in a quantitative area such as math statistics computer science engineering or equivalent experience
- 10 years of experience in analytics data engineering market research or related field
- 10 years experience owning/driving roadmap strategy and definition
- Experience managing and hiring a team of data engineers business intelligence engineers business analysts
- Proficient in working with large-scale complex datasets from multiple sources.

- Experience in designing and delivering cross functional custom reporting solutions.
- Advanced skills in Excel as well as any data visualization tools like Amazon Quick Sight Tableau or similar BI tools.
- Experienced in ETL data modeling and big data tools.
- Excellent oral and written communication skills including the ability to communicate effectively with both technical and non-technical stakeholders.
- Experience with AWS technologies like Redshift S3 AWS Glue EMR Kinesis FireHose Lambda and IAM roles and permissions
- Experience with non-relational databases / data stores (object storage document or key-value stores graph databases column-family databases)

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $182100/year in our lowest geographic market up to $314800/year in our highest geographic market. Pay is based on a number of factors including market location 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. For more information please visit This position will remain posted until filled. Applicants should apply via our internal or external career site.