Senior Product Manager - Data Strategy

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.

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 What You'll Need 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