Senior Technical Program Manager, Experience Analytics (Core Data Products)
Amazon - Seattle, Washington, USA
Posted Apr 30, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
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- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
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- Assessment
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- Deadline
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Where they hire
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About this role
Senior Technical Program Manager, Experience Analytics (Core Data Products) Seattle, Washington, USA AWS Experience Analytics (EXA) is seeking a Technical Program Manager to lead delivery of the team's core data product portfolio. EXA exists to understand how customers experience AWS - and to turn that understanding into products and intelligence that teams across AWS can use. As AWS customers shift from traditional console-based building toward AI-augmented, agent-primary, and fully autonomous workflows, the way we measure, segment, and understand customers must fundamentally change. EXA is building the data products that make that possible. You will own the delivery strategy and cross-goal coordination for three foundational data products: a unified customer lifecycle data platform, an AWS-wide customer experience metrics framework, and a customer segmentation framework. These products provide the semantic layer, identity systems, measurement standards, and governed data access that enable data-informed decision making across AWS. This is not a milestone-tracking role. You will shape how a growing, cross-functional team of engineers, applied scientists, data scientists, and researchers deliver complex data infrastructure. You will simplify processes, eliminate dependencies, negotiate priorities across teams, and create the conditions for scientists and engineers to focus on their highest-value work. You will drive the extension and expansion of these products - increasing adoption, improving data quality, and ensuring they scale as AWS's customer base and product surface evolve. The ideal candidate has experience managing complex data platform or analytics infrastructure programs, thrives in ambiguity, can hold the full picture of a multi-workstream program while diving deep
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