We are looking for an exceptional Senior Technical Program Manager who is passionate about leveraging data-driven insights to drive strategic initiatives and deliver impactful solutions. You should possess both a strong technical background in program management and a keen business acumen that enables you to think strategically across complex systems and organizational boundaries. You will navigate a wide range of challenging scenarios requiring extensive use of data analysis, cross-functional collaboration, and strategic planning. The successful candidate will work in lock-step with Engineering teams, Data Scientists, Product Managers, Business Analysts, and other stakeholders across the organization to drive the successful execution of high-impact programs that enhance our analytics capabilities and customer experiences."


Key job responsibilities
We are looking for an exceptional Senior Technical Program Manager who is passionate about leveraging data-driven insights to drive strategic initiatives and deliver impactful solutions. You should possess both a strong technical background in program management and a keen business acumen that enables you to think strategically across complex systems and organizational boundaries. You will navigate a wide range of challenging scenarios requiring extensive use of data analysis, cross-functional collaboration, and strategic planning. The successful candidate will work in lock-step with Engineering teams, Data Scientists, Product Managers, Business Analysts, and other stakeholders across the organization to drive the successful execution of high-impact programs that enhance our analytics capabilities and customer experiences.

Key Responsibilities:
Spearhead data-driven initiatives that leverage our rich datasets to extract actionable insights, improve customer experiences, and drive business value
Lead cross-functional teams to design, implement, and optimize data architecture, pipelines, and advanced analytics solutions.

Collaborate with Data Scientists, BI Engineers, and ML Scientists to implement innovative analytics algorithms for statistical analysis, prediction, clustering, and machine learning.

Partner with Product Managers and Business Analysts to build and verify hypotheses that improve AWS Support business outcomes.

Drive the continuous improvement of reporting and analysis processes, simplifying self-service support for customers through data-driven solutions.

Keep abreast of advances in big data technologies and lead pilots to scale our data architecture to accommodate growing datasets and evolving customer needs.

Translate complex data insights into clear, actionable recommendations for leadership and stakeholders

A day in the life
You will:

Develop and improve the current data architecture, data quality, monitoring and data availability.
Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning.

Partner with BAs across teams to build and verify hypothesis to improve the AWS Support business.
Help continually improve ongoing reporting and analysis processes, simplifying self-service support for customers.

Keep up to date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data sets of customer experience on AWS.

About the team
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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why 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.

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 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.

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.

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.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers that are building mission-critical applications on top of AWS services.