Description

This is your opportunity to be part of a team that has direct impact on foundational cloud services such as Amazon Elastic Compute Cloud (EC2), Amazon’s Simple Storage Service (S3), Amazon Q Developer, Serverless, Databases, Networking and many more.

As a Manager of Business intelligence team in AWS Analytics Engineering, you will be responsible for owning end-to-end analytical roadmap for your supported AWS services. You will work closely with business leaders, finance, and technical teams to analyze many non-standard and unique business problems, creatively problem-solving to deliver actionable output. You will lead and oversee business intelligence initiatives across multiple AWS products to provide accurate and timely business metrics that enable data-driven decision making across AWS. As you design your service's analytical capabilities, you will be redefining best practices with a cloud-based approach to scalability and automation.

Key job responsibilities

• Lead and manage a team of junior and mid-level business intelligence/data engineers.

• Lead prioritization of projects based on business impact and actionable insights.

• Enable team self-sufficiency through training, transparency, and access to methodologies

• Establish team business practices, roles and responsibilities, and professional development opportunities.

• Partner with senior leadership Product/finance/Business development functions and provide actionable insights on a regular cadence.

• Build and maintain the data infrastructure to answer business questions with data using data engineering best practices.

• Create a analytical roadmap for your supported services and oversee its execution through collaboration with Data Engineers, Business Intelligence Engineers, Data Scientists, Business Analysts, and Product/Program Managers.

• Understand the business and technical requirements, and make decisions that help make the products/programs smoother.

A day in the life

To be successful in the role, you need strong team management, communication and analytical skills, alongside with the ability to manage stakeholders’ expectations to deliver the strategic plan with your team. You will work in a collaborative and empowering work environment where cross-functional teamwork drives success, and your expertise in data-driven innovation is highly valued. You’ll have the autonomy to lead initiatives, the support to grow professionally, and the opportunity to make a meaningful impact by delivering actionable insights that shape key business decisions.

About the team

Utility Computing (UC)

AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services.

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge-sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects that help our team members develop your engineering expertise so you feel empowered to take on more complex tasks in the future.

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the 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.

About AWS

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.

Inclusive Team Culture

Here at AWS, it’s 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.

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, there’s nothing we can’t achieve in the cloud.

Mentorship & 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.

Basic Qualifications

• Advanced degree in Business, Science, Technology or related disciplines

• 8+ 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 managing, analyzing and communicating results to senior leadership.

• Proven track record in implementing organizational change management strategies.

• Experience in creating analytics roadmap and making appropriate tradeoffs when needed.

• Experience in data manipulation through SQL, ETL, Python, Relational/Non relational database systems.

• Experience with data visualization using Tableau, Quicksight, or similar tools

Preferred Qualifications

• 4+ years of working with very large data warehousing environment experience

• • Experience in working with GenAI tools for analytical use cases.
• • Experience in leading transformative initiatives
• • Understanding of statistical methods and machine learning model deployment.

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.

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $129,100/year in our lowest geographic market up to $223,100/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.