Amazon Data Services, Inc.
Senior Manager – Data Engineering and Business Analytics , CDSA - Capacity Del
Amazon Data Services, Inc., Seattle, Washington, us, 98127
Job Title: Sr. Manager - Data Engineering and Business Analytics
Minimum Qualifications:Bachelor’s degree in a quantitative area such as math, statistics, computer science, engineering or equivalent experience10+ years of experience in analytics, data engineering, market research or related field10+ years experience owning/driving roadmap strategy and definitionExperience managing and hiring a team of data engineers, business intelligence engineers, business analystsProficient in working with large-scale, complex datasets from multiple sources.People management experience, managing data engineers and business intelligence engineers.AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re 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 we’re looking for talented people who want to help.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll 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 you’ll 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 AWS's 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 Amazon’s 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.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 GenAI 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:Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diversity and Inclusion: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, hasn’t followed a traditional path, or includes alternative experiences, don’t 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.Mentorship and Career Growth:We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Experience Required: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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $182,100/year in our lowest geographic market up to $314,800/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 https://www.aboutamazon.com/workplace/employee-benefits.This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Minimum Qualifications:Bachelor’s degree in a quantitative area such as math, statistics, computer science, engineering or equivalent experience10+ years of experience in analytics, data engineering, market research or related field10+ years experience owning/driving roadmap strategy and definitionExperience managing and hiring a team of data engineers, business intelligence engineers, business analystsProficient in working with large-scale, complex datasets from multiple sources.People management experience, managing data engineers and business intelligence engineers.AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re 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 we’re looking for talented people who want to help.You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll 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 you’ll 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 AWS's 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 Amazon’s 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.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 GenAI 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:Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Diversity and Inclusion: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, hasn’t followed a traditional path, or includes alternative experiences, don’t 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.Mentorship and Career Growth:We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.Experience Required: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 committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $182,100/year in our lowest geographic market up to $314,800/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 https://www.aboutamazon.com/workplace/employee-benefits.This position will remain posted until filled. Applicants should apply via our internal or external career site.
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