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Nordstrom

Full-line department store retailer

Senior Product Manager - Digital Data

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeSeattle, WA, USA

About the Job

Requirements

  • 5+ years of product management experience, with meaningful experience in data, business intelligence, analytics or data science, or data platforms.
  • Experience leading the direction of a data product, platform, or domain, and influencing senior leaders on complex data and technical tradeoffs.
  • Experience with digital analytics platforms such as Google Analytics/GA4, Adobe Analytics, or Quantum Metric, and understanding how clickstream data is collected and modeled in a cloud warehouse such as BigQuery.
  • Knowledge of how privacy regulations and device- and browser-level tracking restrictions affect data collection and measurement.
  • Familiarity with modern cloud data platforms and patterns such as GCP/BigQuery, Looker, dbt, and medallion architecture, sufficient to evaluate tradeoffs.
  • Experience with data management, including governance, quality monitoring, and self-service enablement.
  • Strong communication skills, including writing and presenting investment cases and building alignment across a large, matrixed organization.
  • A bachelor's degree is required.

Responsibilities

  • Define how digital data is governed, unified, and made self-service.
  • Own the instrumentation and analytics tooling strategy, including build-versus-buy decisions, platform consolidation, and architecture, in partnership with engineering leadership.
  • Present plans and investment cases to executive leadership, translating technical complexity into business terms.
  • Set priorities and own the backlog for a dedicated data engineering team, balancing near-term business needs with long-term platform health, and work with engineering to scope and deliver the work.
  • Improve data quality and trust through shared metric definitions and governance, from source systems to reporting.
  • Build alignment across Product, Engineering, Analytics, and Business leaders, including Customer Experience, Merchandising, Marketing, Finance, and Strategy.
  • Shape how AI changes the way people use digital data, including natural-language querying of metrics such as conversational analytics.
  • Mentor product managers and data consumers on how to find, use, and understand digital data.

Desired Qualifications

  • An MBA or advanced degree is preferred.
  • Hands-on data modeling experience, such as dimensional modeling or schema design.
  • Experience scoping or shipping conversational analytics or other AI-powered analytics products built on governed data.
  • Experience working in an AI-native way, using agents to research, test assumptions, and prototype solutions.

About the Company

Nordstrom

Full-line department store retailer

Nordstrom operates as a department store chain in the United States and Canada that sells clothing, shoes, accessories, beauty products, and other fashion items. It offers a mix of brands and its own lines through many stores and online platforms, aiming to help customers find outfits and items that fit their style and budget. The shopping experience centers on customer service, a curated selection, and convenient access across channels, including in-store and digital shopping. Unlike many retailers, Nordstrom emphasizes service and customer care to guide purchases and returns, as well as a long-standing commitment to evolving with fashion trends across a full-line retail model. The company’s goal is to be a leading, widely accessible fashion retailer known for reliable service and a broad, carefully chosen assortment across multiple product categories.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1901

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