Senior Technical Program Manager, Experience Analytics (Core Data Products)
About the role
AWS Experience Analytics (EXA) is seeking a Technical Program Manager to lead the delivery of the team's core data product portfolio. EXA builds data products that help teams across AWS understand and act on customer experiences.
Responsibilities
- Own the delivery strategy and cross-goal coordination for EXA's core data product portfolio: the CLARA unified customer data platform, the AWS Experience Metrics Framework, and the AWS Customer Segmentation Framework.
- Manage the lifecycle of complex, cross-functional data product initiatives from definition through delivery — identifying dependencies, negotiating priorities, unblocking teams, and making trade-offs between short-term delivery needs and long-term platform sustainability.
- Drive the extension and expansion of core data products across AWS — increasing adoption, onboarding new consumers, improving data quality, and ensuring products scale with evolving customer and business needs.
- Partner with engineering, applied science, and data science leads to align technical priorities with business outcomes and ensure workstreams reinforce each other.
- Drive stakeholder alignment across EXA and partner teams, including data engineering, product, and design leaders across AWS service teams.
- Streamline process. Create predictable delivery paths that reduce coordination overhead and enable the team to move faster.
- Write effective narratives to present program status and strategic recommendations.
- Identify and mitigate program risks before they become blockers. Find paths forward in difficult situations where priorities, resources, or technical approaches are in tension.
Qualifications
- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language
- Experience building software that interacts with data systems (databases, pipelines, APIs, or data platforms)
- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience building conversational interfaces, agent-based systems, or AI-powered tools
- Experience with front-end development (React or similar frameworks) alongside backend/infrastructure work
- Experience with Python and cloud-based data infrastructure (AWS services preferred)
- Familiarity with ML model serving, NLQ interfaces, or knowledge base architectures
- Experience working in research or analytics teams where requirements emerge from discovery rather than predefined specifications
Benefits
Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance, 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. For more information, please visit https://amazon.jobs/content/en/how-we-hire/accommodations.