Product Manager 2 - Data & AI Platforms (Hybrid - Seattle)
Seattle WA, United States
Full Time Mid-level / Intermediate USD 121K - 188K
Nordstrom
Job Description
The Product Manager 2, Data & AI Platforms is a key contributor to Nordstrom’s Product Management team, driving the evolution of the customer experience through data-driven insights, automation, and advanced AI and machine learning capabilities. We believe in the democratization of data, making it accessible, actionable, and impactful for everyone in the enterprise, while leveraging cutting-edge AI and machine learning tools to unlock new opportunities.
Product Management is responsible for ensuring we build the right products and features for our customers and business. To accomplish that, product managers help plan the product roadmap, support product discovery initiatives, and assist in measuring the results of the feature portfolio in production, while maintaining clear communication with stakeholders.
The Product Insights and Performance Optimization (PIPO) team is looking for a product manager who can champion data democratization, insights delivery, and AI-powered solutions within a highly interconnected data platform space. This individual should have a proven ability to influence stakeholders, continuously discover customer needs, and drive impactful data platform enhancements.
A Day in the Life:
Collaboration and Influence: Build strong cross-functional relationships across business, technology, UX, and data science teams. Evangelize the product vision and influence strategic roadmap decisions within the data and AI platform domain. Actively contribute to planning sessions and coordinate collaborative efforts to deliver impactful features.
Continuous Discovery and Insights: Conduct customer research and share findings to develop a deep understanding of the product and customer. Stay informed on market trends, competitor products, and emerging AI-powered technologies, integrating insights into product strategies.
Definition and Decomposition: Break down roadmaps into releasable features and own the prioritization and sequencing of features to best support strategic goals. Write complete user stories and acceptance criteria within the data platform domain, including features leveraging AI and machine learning models. Collaborate with engineering to balance customer value with technical effort and complexity. Develop measurement plans and exercise a “test and learn” mentality, iterating on product decisions based on data and learnings.
Driving Impact: Partner with engineering, UX, and data science teams to deliver business value through data platform features. Design testing strategies and measure the impact of AI-driven insights and automation. Integrate repeatable measurement into decision-making processes to drive roadmap adjustments and ensure outcomes align with business priorities.
Prioritization and Planning: Prioritize the product roadmap to optimize impact and balance deliverables across multiple stakeholders. Develop detailed feature plans, accounting for technical and operational constraints while ensuring iterative value delivery. Coordinate across squads and functional areas to ensure proper process support for the product.
Strategy and Vision: Contribute to the product vision, articulating its purpose and aligning it with Nordstrom’s strategic vision. Shape the approach to deliver on the product vision, connecting short-term plans to success metrics and product value. Evangelize the vision with the squad and key stakeholders, driving alignment on strategy and execution.
You Own This If You Have:
Product Management & Strategic Thinking
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
Demonstrated ability to balance scope, resources, and timelines to maximize product development impact
Ability to foster collaboration across business, technology, UX, and data science teams to drive product delivery
Ability to conduct customer research and market analysis to identify trends and opportunities in data democratization, AI-powered innovation, and big data industries
A “test and learn” mindset, using measurement plans and telemetry to validate hypotheses and iterate on product decisions based on learnings
Technical Skills & Domain Knowledge
Strong understanding of data engineering concepts, including data warehousing, data management, and data analysis
Proficiency in SQL and analytical thinking, with exposure to machine learning concepts and applications
Familiarity with cloud data platforms and services such as:
Google Cloud Platform (GCP): BigQuery, Looker, Dataplex, Dataproc, Pub/Sub
Or equivalent platforms: Databricks, AWS (S3, Data Lake, Redshift), Microsoft Fabric
Ability to analyze data processes and identify opportunities for improved accessibility and AI-driven enhancements
Technical aptitude with a willingness to learn software development principles, A/B testing methodologies, and the integration of machine learning models into data product workflows
Qualifications & Experience
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 with the ability to build relationships with technical and non-technical stakeholders
Experience coordinating cross-functional efforts and influencing stakeholders to align on product strategy and roadmap decisions
Candidate Profile:
Enthusiasm and eagerness: You are passionate about product management and innovation, with a genuine interest in data democratization, AI concepts, and customer-centric solutions.
Natural curiosity: You ask thoughtful questions and seek understanding about data management principles, AI technologies, and machine learning applications. You are committed to continuous learning and growth.
Problem-solving mindset: You show initiative in tackling data accessibility challenges, seek to understand issues fully, and explore how automation or AI tools might address them. You’re not afraid to ask for help when needed.
Adaptability: You thrive in dynamic environments, learning new skills, and switching between different types of work as needed.
Willingness to handle ambiguity: You thrive in situations where the path forward is unclear and use data, AI-driven insights, and collaboration to inform decision-making.
Interest in industry trends: You stay informed on developments in AI, machine learning, big data, and data democratization, sharing ideas and contributing to product vision discussions with stakeholders.
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
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.
Nordstrom conducts background checks and considers qualified applicants with criminal histories in a manner consistent with all legal requirements.
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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.
Tags: A/B testing AWS Big Data BigQuery Classification Computer Science CX Data analysis Databricks Data management Dataproc Data Warehousing Engineering GCP Google Cloud Looker Machine Learning ML models Redshift Research SQL Testing UX
Perks/benefits: 401(k) matching Career development Equity / stock options Health care Insurance Salary bonus
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