Senior Product Manager, Data Strategy

Nordstrom

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Quick summary

Work type
On-site
Location
Seattle, WA
Employment
Full-time
Posted
61 days ago
Freshness
Confirmed live today

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Salary context

How this pay compares to similar roles

Similar $198k
$158k most similar roles pay here $241k

This listing doesn't post a salary. Most similar roles pay $177,250–$219,725.

Based on 240 similar postings.

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About Nordstrom

Nordstrom is a leading American luxury department store chain offering a wide selection of clothing, shoes, accessories, and beauty products through its stores, Nordstrom Rack outlets, and online. Industry: Luxury Department Store Retail

Nordstrom currently has 40 open roles on FindRole.

Listed pay typically runs $142,000–$220,500 across 23 roles with salary data.

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At a glance

TL;DR · Senior Product Manager, Data Strategy

Senior Product Manager - Data Strategy joins the Nordstrom Product Management team to lead data product strategy for the Operations domain, specifically covering Returns, Store Ops, and Customer Orders. This role involves crafting a multi-year vision, defining governance standards, and establishing roadmaps for unified, self-service data capabilities. The individual will collaborate with engineering, data science, and executive leadership to manage architectural tradeoffs like medallion progression and platform consolidation while advocating for investment in analytical AI products such as forecasting and anomaly detection. Key requirements include expertise in modern cloud data architecture, including GCP, BigQuery, and Looker. Candidates must possess strong skills in domain modeling, strategic narrative building, and cross-functional alignment. The role focuses on solving the complex problem of governing and unifying operational data to drive informed decision-making across the enterprise.

What does a Product Manager earn in Washington?

Median $215100 from 83 postings across 21 companies.

See salary data

What you'll do

  • Craft a multi-year data product vision for the Operations domain including Returns, Store Ops, and Customer Orders.
  • Define strategies for governing, unifying, and making operational data self-service across the organization.
  • Set direction on build-vs-buy decisions, platform consolidation, and architectural tradeoffs in partnership with engineering.
  • Present data strategy and investment cases to executive leadership by translating technical complexity into business language.
  • Prioritize high-leverage data capabilities while balancing immediate business needs against long-term platform maturity.
  • Establish organizational data governance standards including naming conventions, metric definitions, and access models.
  • Integrate AI and emerging technologies into the roadmap for forecasting, anomaly detection, and predictive automation.
  • Mentor and provide direction to product managers and analysts executing against the domain roadmap.

What we're looking for

  • You must have a Bachelor's degree.
  • An MBA or advanced degree is preferred.
  • You must have 8+ years of experience in product management, specifically within data strategy, data platforms, or enterprise architecture.
  • You must have a proven track record of setting multi-year vision and strategy for a data domain.
  • You must be able to influence executive leadership by translating complex technical tradeoffs into actionable business cases.
  • You must have deep familiarity with modern cloud data architecture concepts like GCP, BigQuery, Looker, and medallion architecture.
  • You must possess strong narrative and communication skills to write and present strategic cases.
  • Hands-on data modeling experience and exposure to shipping analytical AI products are preferred.

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