Senior Product Manager - Store Selling Insights (Hybrid - Seattle)

Nordstrom•Seattle, WA

4d•$142,000 - $220,500•Hybrid

About The Position

This role is offered as hybrid in Seattle, WA. Candidates must be available to work in office at the Nordstrom corporate headquarters a minimum of 4 days/week to be considered for this position. We're seeking a Senior Product Manager (PdM) to own strategy and delivery for the Store Selling Insights Delivery (SSID) team. This team owns the reporting and intelligence layer that equips store leaders to act, coach sellers, and make the day. The role drives a multi-year vision with cross-org alignment, managing a complex stakeholder landscape with limited oversight, and independently translating ambiguous problems into sequenced, measurable work. The PdM will advance the roadmap (including prioritization and tradeoff facilitation), close data governance and metric certification gaps, and accelerate progress toward proactive, predictive, mobile-first intelligence, ensuring usability and proactive decision-making for end users.

Requirements

5+ years of product management experience, with a demonstrated track record of owning a product domain end-to-end at the Senior PdM level.
Experience with enterprise BI and reporting platforms, particularly Looker, and how they integrate with modern cloud data ecosystems (GCP/BigQuery strongly preferred).
Hands-on experience driving platform migration or consolidation efforts, including legacy deprecation, user change management, and stakeholder alignment.
Strong foundational knowledge of data governance concepts: metric certification, semantic layers, data ownership models, and the distinction between data producers and consumers.
Fluency in data engineering and analytics fundamentals, SQL, data warehousing, pipeline concepts, sufficient to engage credibly with engineering on tradeoffs.
Demonstrated ability to operate independently in ambiguous, matrixed environments; proactively identify and closes gaps without waiting for direction.
Strong written and verbal communication skills; able to produce crisp, audience-appropriate artifacts for both leadership and engineering audiences.

Nice To Haves

Experience with conversational analytics, agentic AI, or LLM-powered product development.
Familiarity with Nordstrom's store operations context, store leader personas, or retail workforce management.

Responsibilities

Own the multi-year vision: from today's reliable Looker reporting through intelligence and proactive next-best-action capabilities, leveraging AI.
Move a fragmented, desktop-bound reporting environment to intelligent, mobile-first, role-based reporting and insights, delivered in prioritized increments.
Maintain momentum on metric definition and certification work.
Be the product voice in architectural and data governance discussions.
Drive delivery across active initiatives and optimizations.
Write user stories and acceptance criteria across domain dependencies without support; keep a refined backlog sequenced by user impact, business value, and engineering effort.
Proactively identify and manage risks, cross-team dependencies, and sequencing tradeoffs, escalating with documented recommendations when appropriate.
Define and track success metrics for shipped features; drive root cause analysis and roadmap adjustments based on telemetry and user feedback.
Understand and lead discovery as needed with full user population (executive leaders, store leaders, department managers, etc.), synthesizing findings independently to identify unmet needs and prioritization signals.
Drive alignment across a complex matrix spanning partnering Engineering and Analytics teams.
Own communications up and down the pyramid, from technical tradeoffs with engineering to business impact narratives for leadership review.
Encourages innovation across functions and domains; orchestrates planning within the store reporting domain and across dependencies.
Influences roadmap up and down the pyramid; ensures seamless collaboration for impactful deliveries without relying on manager direction.
Leads customer research independently; synthesizes findings into clear opportunity statements and prioritization inputs.
Demonstrates deep understanding of market and competitive trends in retail analytics and BI; incorporates those signals into roadmap decisions.
Defines product scope and removes ambiguity without support; aligns stakeholders up and down the pyramid on scope and boundaries.
Writes user stories and acceptance criteria that influence across domains; brings sufficient technical depth to enable extensible design decisions.
Evangelizes test-and-learn; demonstrates product-market fit and makes roadmap adjustments based on measurement without management prompting.
Drives progress across the broader store reporting domain; proactively manages risks and dependencies rather than waiting for issues to surface.
Communicates business impact without support; independently drives roadmap adjustments based on evidence; knows when to escalate with a recommendation.
Balances short-term deliverables with long-term progress across the domain with support; aligns to business unit strategy.
Develops timeline within the product line without support; partners with engineering leadership on scope, sequencing, and sprint planning.
Defines success criteria including go-to-market; coordinates across functional and domain boundaries.
Frames tradeoffs with conviction in the broader context; provides documented recommendations to leadership.
Crafts a multi-year product vision for store reporting; aligns to company strategic vision without support; evangelizes across the org.
Defines the approach within the store reporting domain; develops a multiphase strategy with clear direction; drives cross-org alignment.