Nordstrom is seeking a Senior Product Manager to lead data product strategy for the Operations domain, covering Returns, Store Ops, and Customer Orders. This team sets the direction for how operational data is governed, unified, and made available for decision-making across the company, and works closely with key business and technology stakeholders to deliver strategic ELG (executive leadership group) initiatives.
As the Senior Product Manager, you will engage directly with executive leadership, engineering, and data science partners to define a multi-year vision for the domain and translate that vision into a roadmap the broader organization can align behind. You will set priorities across the domain's data capabilities, shape governance and architecture direction in partnership with engineering, and build the case for data investments at the CSCO/EVP/SVP level.
We are looking for a candidate with a proven track record of setting strategy and vision for a data domain, and building alignment across broad, cross-functional teams to execute against it.
The Senior Product Manager is a key member of the Nordstrom Product Management team, championing the customer experience evolution through data-driven insights and delivering the strategic direction, roadmap, and executive alignment that make it possible to build the right products and features for our customers and business.
What You'll Do- Craft a multi-year data product vision for the Operations domain, articulating the value proposition and ensuring alignment to enterprise data strategy without support
- Define the strategic narrative for why and how Returns, Store Ops, and Customer Order data should be governed, unified, and made self-service across the organization
- Set direction on build-vs-buy, platform consolidation, and architectural tradeoffs (e.g., medallion progression, domain modeling) in partnership with engineering leadership
- Represent the domain's data strategy to executive leadership (CSCO/EVP/SVP level), translating technical and operational complexity into business language and investment cases
- Identify and prioritize the highest-leverage data capabilities across the domain, balancing near-term business needs against long-term platform maturity
- Build and sustain alignment across a broad stakeholder map — Product, Tech, Data Science, Data Analytics, and Business leaders across Returns, Store Ops, and Customer Orders domains.
- Shape organizational data governance standards and advocate for them at a leadership level, partnering with governance bodies on domain naming, metric definitions, and access models
- Anticipate where AI and emerging data capabilities will change how the domain's data gets used, and shape the roadmap accordingly — including analytical AI products such as forecasting, anomaly detection, and predictive automation built on governed domain data
- Mentor and set direction for product managers and analysts executing against the domain roadmap
- Define what success looks like at a domain level
- 8+ years in product management, with a substantial portion spent in data strategy, data platform, or enterprise architecture contexts
- Demonstrated experience setting multi-year vision and strategy for a data domain, not just executing against someone else's roadmap
- Strong track record influencing at the executive level — translating complex data/technical tradeoffs into decisions leadership can act on
- Deep familiarity with modern cloud data architecture concepts (e.g., GCP/BigQuery, Looker, medallion architecture) enough to set direction and evaluate tradeoffs
- Strong point of view on data governance, domain modeling, and self-service enablement, informed by direct experience but exercised primarily through influence and prioritization
- Working understanding of how AI/ML and natural-language tooling are changing data consumption patterns, sufficient to shape a forward-looking roadmap for analytical AI products
- Excellent narrative and communication skills — the ability to write and present a strategic case, not just a requirements document
- Experience building alignment across large, matrixed organizations with competing priorities
- Hands-on data modeling experience (e.g., dimensional modeling, schema design) is a plus, but not required — this role is evaluated on strategic direction-setting, not technical execution
- Prior exposure to shipping or scoping analytical AI products (forecasting, anomaly detection, recommendation/decisioning systems) built on governed enterprise data is a plus
- Bachelor's degree required; MBA or advanced degree preferred
Pay Range Details
The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations.
Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience.
We’ve got you covered…
Our employees are our most important asset and that’s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:
- Medical/Vision, Dental, Retirement and Paid Time Away
- Life Insurance and Disability
- Merchandise Discount and EAP Resources
This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_17-19.pdf
A few more important points...
The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.
For Los Angeles or San Francisco applicants: Nordstrom is required to inform you that we conduct background checks after conditional offer and consider qualified applicants with criminal histories in a manner consistent with legal requirements per Los Angeles, Cal. Muni. Code 189.04 and the San Francisco Fair Chance Ordinance. For additional state and location specific notices, please refer to the Legal Notices document within the FAQ section of the Nordstrom Careers site.
Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com.
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Skills Required
- 8+ years in product management, with significant experience in data strategy, data platform, or enterprise architecture contexts.
- Demonstrated experience setting multi-year vision and strategy for a data domain.
- Proven ability to influence executive leadership and translate complex data/technical tradeoffs into business decisions.
- Deep familiarity with modern cloud data architecture concepts (example: GCP, BigQuery), platform tradeoffs, and medallion architecture.
- Experience with Looker or similar BI/tools and strong point of view on data governance, domain modeling, and self-service enablement.
- Working understanding of how AI/ML and natural-language tooling change data consumption patterns, to shape roadmaps for analytical AI products.
- Excellent narrative and communication skills, able to write and present strategic cases.
- Experience building alignment across large, matrixed organizations with competing priorities.
- Bachelor's degree.
- Hands-on data modeling experience (dimensional modeling, schema design).
- Prior exposure to shipping or scoping analytical AI products (forecasting, anomaly detection, recommendation/decisioning systems).
- MBA or advanced degree.
Nordstrom Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nordstrom and has not been reviewed or approved by Nordstrom.
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Healthcare Strength — Healthcare options are described as broad, including medical, dental, and vision coverage alongside virtual care and mental health support. Additional protections like disability coverage, life/AD&D, and accounts such as HSA/FSA further strengthen the overall health-and-protection offering.
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Retirement Support — Retirement benefits include a 401(k) plan with a defined employer match structure and access to additional financial programs like an employee stock purchase plan. Commuter accounts, transit subsidies, and adoption assistance add to the overall financial support beyond base pay.
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Leave & Time Off Breadth — Time-away benefits include PTO accrual, paid holidays, bereavement leave, parental and bonding leave, and a sabbatical program after tenure. PTO sharing and donation options expand flexibility in how time off can be used and supported across colleagues.
Nordstrom Insights
What We Do
When you join Nordstrom, you join a fast-paced and entrepreneurial environment is paired with the strong history and experience of the Nordstrom retail legacy. We have access to some of the greatest minds in retail and technology and are constantly creating innovative strategies to develop the ultimate apparel solutions.
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