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Senior Technical Program Manager, Analytics; Core Data Products; AWS

Job in Seattle, King County, Washington, 98127, USA
Listing for: Amazon
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    AWS, Data Engineering
Salary/Wage Range or Industry Benchmark: 148700 - 201200 USD Yearly USD 148700.00 201200.00 YEAR
Job Description & How to Apply Below
Position: Senior Technical Program Manager, Experience Analytics (Core Data Products) (AWS)

Senior Technical Program Manager, Experience Analytics (Core Data Products)

Job :  | Amazon Development Center U.S., Inc.

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.

Key

job 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 work streams 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.
Basic Qualifications
  • 3+ years of non‑internship professional software development experience.
  • 2+ years of non‑internship design or architecture 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).
Preferred Qualifications
  • 3+ years of full software development life cycle experience, including coding standards, code reviews, source control management, build processes, testing, and operations.
  • Experience building conversational interfaces, agent‑based systems, or AI‑powered tools.
  • Experience with front‑end development (React or similar frameworks) alongside back‑end/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.

The base salary range for this position is USD  –  annually (USA, WA, Seattle). Your…

Position Requirements
10+ Years work experience
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