Senior Product Manager - Data Strategy

Job DescriptionNordstrom 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 DoCraft a multi-year data product vision for the Operations domain, articulating the value proposition and ensuring alignment to enterprise data strategy without supportDefine the strategic narrative for why and how Returns, Store Ops, and Customer Order data should be governed, unified, and made self-service across the organizationSet direction on build-vs-buy, platform consolidation, and architectural tradeoffs (e.g., medallion progression, domain modeling) in partnership with engineering leadershipRepresent the domain's data strategy to executive leadership (CSCO/EVP/SVP level), translating technical and operational complexity into business language and investment casesIdentify and prioritize the highest-leverage data capabilities across the domain, balancing near-term business needs against long-term platform maturityBuild 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 modelsAnticipate 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 dataMentor and set direction for product managers and analysts executing against the domain roadmapDefine what success looks like at a domain levelWhat You'll Need8+ years in product management, with a substantial portion spent in data strategy, data platform, or enterprise architecture contextsDemonstrated experience setting multi-year vision and strategy for a data domain, not just executing against someone else's roadmapStrong track record influencing at the executive level — translating complex data/technical tradeoffs into decisions leadership can act onDeep familiarity with modern cloud data architecture concepts (e.g., GCP/BigQuery, Looker, medallion architecture) enough to set direction and evaluate tradeoffsStrong point of view on data governance, domain modeling, and self-service enablement, informed by direct experience but exercised primarily through influence and prioritizationWorking understanding of how AI/ML and natural-language tooling are changing data consumption patterns, sufficient to shape a forward-looking roadmap for analytical AI productsExcellent narrative and communication skills — the ability to write and present a strategic case, not just a requirements documentExperience building alignment across large, matrixed organizations with competing prioritiesHands-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 executionPrior exposure to shipping or scoping analytical AI products (forecasting, anomaly detection, recommendation/decisioning systems) built on governed enterprise data is a plusBachelor's degree required; MBA or advanced degree preferredPay Range DetailsThe 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.$142,000.00 - $220,500.00 AnnualWe’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 AwayLife Insurance and DisabilityMerchandise Discount and EAP ResourcesThis 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: 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 . Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ’s for relevant information and guidelines.Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs.Nordstrom keeps job postings open for at least one day after the posting date. 2026 Nordstrom, IncSummaryLocation: Seattle, WAType: Full time