Product Manager 2 – Insights Delivery, Merchandising

Nordstrom

Product Manager owning Nordstrom’s merchandising data and AI platform roadmap. Driving migrations, data onboarding, BI support, and measurable insights for retail decisions.

Posted 8/12/2026full-timeSeattle • Washington • 🇺🇸 United StatesJuniorMid-Level💰 $121,500 - $188,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in product management with a strong focus on data-driven decision-making, feature prioritization, and cross-functional collaboration. Proficient in SQL and familiar with cloud data platforms, machine learning concepts, and data engineering principles.

Highest-signal resume keywords

Product ManagementSQL ProficiencyData Engineering ConceptsCross-Functional CollaborationMachine Learning Exposure

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Feature PrioritizationUser Story WritingData AnalysisData ManagementData WarehousingMarket AnalysisMeasurement PlansA/B Testing MethodologiesTechnical AptitudeAnalytical Thinking

Soft Skills

Interpersonal CommunicationOral CommunicationWritten Communication

Tools & Technologies

GCPBigQueryLookerDataplexDataprocPub/SubDatabricksAWS S3Data LakeRedshift

Industry Keywords

Insights DeliveryMerchandising RoadmapAI TechnologiesCustomer ResearchProduct StrategyData PlatformTelemetriesProduct Backlog ManagementStakeholder InfluenceCross-Functional Coordination

Tech Stack

Tools & technologies

Amazon RedshiftAWSBigQueryCloudGoogle Cloud PlatformSQL

About the role

Key responsibilities & impact

Own the Insights Delivery Merchandising roadmap, including platform migrations, new data onboarding, and business intelligence support
Build cross-functional relationships across business, technology, UX, and data science teams
Evangelize product vision and influence strategic roadmap decisions within the data and AI platform domain
Conduct customer research and analyze market trends, competitor products, and emerging AI technologies
Break down roadmaps into releasable features and prioritize and sequence features
Write user stories and acceptance criteria within the data platform domain, including AI and machine learning features
Collaborate with engineering to balance customer value, technical effort, and complexity
Develop measurement plans and iterate on product decisions using data and learnings
Partner with engineering, UX, and data analytics teams to deliver value through data platform features
Design testing strategies and measure the impact of AI-driven insights and automation
Develop detailed feature plans and coordinate across squads and functional areas
Contribute to product vision and align short-term plans with success metrics and product value

Requirements

What you’ll need

Proven ability to prioritize features based on customer impact and data-driven insights
Experience breaking down roadmaps into releasable features, writing user stories with acceptance criteria, and managing product backlogs
Ability to balance scope, resources, and timelines to maximize product development impact
Ability to collaborate across business, technology, UX, and data science teams
Ability to conduct customer research and market analysis
Test-and-learn mindset using measurement plans and telemetry
Strong understanding of data engineering concepts, including data warehousing, data management, and data analysis
Proficiency in SQL and analytical thinking
Exposure to machine learning concepts and applications
Familiarity with cloud data platforms and services such as GCP, BigQuery, Looker, Dataplex, Dataproc, Pub/Sub, Databricks, AWS S3, Data Lake, Redshift, or Microsoft Fabric
Ability to analyze data processes and identify opportunities for improved accessibility and AI-driven enhancements
Technical aptitude and willingness to learn software development principles, A/B testing methodologies, and machine learning model integration
2+ years of experience in product management, technology, or a related field
Bachelor’s degree in engineering, Information Technology, Computer Science, Data Science, or equivalent experience
Strong interpersonal, oral, and written communication skills
Experience coordinating cross-functional efforts and influencing stakeholders on product strategy and roadmap decisions

Benefits

Comp & perks

Medical/Vision
Dental
Retirement and Paid Time Away
Life Insurance and Disability
Merchandise Discount
EAP Resources
Performance-based incentives/bonuses may be eligible
401k
PTO accruals
Holidays