Our team owns the Analytics, BI dashboards, and ML models that drive AWS Support operations across customer experience, operational efficiency, tooling, and security. We act as the strategic bridge within the organization, partnering directly with operations managers, leadership, and central support functions to deeply understand their day-to-day challenges.
From there, our team of AI/ML Scientists, Data Engineers, and BI Engineers translate those requirements into scalable data architectures, robust metrics, and automated systems. Ultimately, we build and maintain the high-performance data solutions that our internal stakeholders rely on to optimize global operations
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.
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.
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.
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 and AmazeCon conferences, inspire us to never stop embracing our uniqueness.
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.
- 7+ years of working directly with engineering teams experience
- 5+ years of technical program management working directly with software engineering teams experience
- Experience developing and executing/delivering product and technical roadmaps
- Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
- 3+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience
- Experience contributing to the architecture and design (architecture, design patterns, reliability and scaling) of new and current systems, or experience in machine learning, data mining, information retrieval, statistics or natural language processing
- 5+ years of project management disciplines including scope, schedule, budget, quality, along with risk and critical path management experience
- Experience managing projects across cross functional teams, building sustainable processes and coordinating release schedules
- Experience defining KPI's/SLA's used to drive multi-million dollar businesses and reporting to senior leadership
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.
