Product Manager, Data

Department: Data, Insights and Loyalty

Employment Type: Full Time

Location: Los Angeles HQ

Compensation: $165,000 - $180,000 / year

Description

Key Responsibilities

• Define and maintain a data product roadmap aligned with SKIMS’ strategic and operational priorities.
• Identify opportunities to create reusable data assets, standardized metrics, and self-service capabilities across business functions.
• Prioritize investments based on business value, user needs, technical dependencies, and long-term scalability.
• Define clear product outcomes, success measures, and decision criteria for roadmap initiatives.
• Balance immediate stakeholder needs with sustainable platform and product development.

• Partner with business stakeholders to understand workflows, decisions, pain points, and unmet data needs.
• Translate ambiguous requests into product requirements, user stories, acceptance criteria, and clear definitions of success.
• Facilitate alignment on business rules, metric definitions, source-system requirements, and intended user experiences.
• Validate proposed solutions with users before and during development.
• Communicate priorities, trade-offs, scope, and timelines clearly across technical and business teams.

• Own the product backlog and partner with Data Engineering, Analytics, and other delivery teams to execute against the roadmap.
• Coordinate dependencies across data sources, integrations, models, semantic layers, and reporting experiences.
• Lead business validation, user acceptance testing, release readiness, and stakeholder enablement.
• Monitor delivered capabilities and drive enhancements based on usage, feedback, and changing business needs.
• Identify delivery risks early and support pragmatic decisions that protect product quality and value.

• Champion consistent business definitions, clear ownership, documentation, and discoverability of data products.
• Partner with technical teams to define expectations for data quality, reliability, freshness, and issue resolution.
• Support scalable data models, governed metrics, and intuitive self-service analytics experiences.
• Help reduce fragmented reporting and manual reconciliation through shared enterprise data capabilities.

• Build trusted relationships across Ecommerce, Retail, Merchandising, Planning, Finance, Marketing, and Operations.
• Lead working sessions that connect business priorities to data product decisions and delivery plans.
• Drive adoption through communication, training, documentation, and ongoing stakeholder feedback.
• Measure product impact through usage, user satisfaction, reduced manual effort, and improved decision-making.
• Promote a product-led, customer-focused approach to data across SKIMS.

Skills, Knowledge and Expertise

• 4+ years of experience in product management, technical product management, data and analytics, or a related field, including ownership of data or analytics products.
• Experience defining product roadmaps, managing backlogs, and delivering cross-functional technical initiatives.
• Strong understanding of data warehouses, pipelines, data modeling, business intelligence, and modern analytics workflows.
• Working knowledge of SQL and the ability to independently explore data and validate business requirements.
• Demonstrated ability to translate complex business needs into actionable technical specifications.
• Experience with Agile delivery practices, user acceptance testing, and product management tools.
• Excellent stakeholder management, facilitation, written communication, and presentation skills.
• Strong analytical judgment and ability to prioritize competing needs in a fast-moving environment.
• Bachelor’s degree in business, computer science, information systems, analytics, or a related field, or equivalent practical experience.

• Experience within apparel, fashion, beauty, retail, ecommerce, or another consumer-facing business.
• Familiarity with Snowflake, dbt, Looker, Fivetran, or comparable modern data technologies.
• Experience with Shopify, NetSuite, ERP, merchandising, planning, or other enterprise source systems.
• Understanding of omnichannel sales, customer, product, inventory, and marketing data domains.
• Experience building governed metrics, semantic layers, master data capabilities, or self-service analytics products.
• Exposure to data governance, data quality, forecasting, experimentation, or AI/ML-enabled products.

• Business and technical teams share a clear, prioritized roadmap for data products and capabilities.
• High-value data initiatives are grounded in well-defined user needs and measurable outcomes.
• Products are delivered reliably, validated with stakeholders, and adopted in day-to-day business workflows.
• Core metrics and data products become more consistent, trusted, accessible, and reusable across teams.
• Manual reporting and fragmented solutions decrease as scalable data capabilities mature.
• Data investments enable faster, better-informed decisions and measurable business impact.

Benefits, Culture and Perks

• Up to 100% Company Paid Healthcare (medical, dental, vision) 
• Kind Body Fertility Benefits   
• 401(k) savings plan with up to 4% match 
• Unlimited PTO  
• Full Access to LinkedIn learning 
• Employee Discounts  

• Free weekly catered lunch at HQ – M/T/W/Th
• Dog-Friendly office on a Thursday and Friday
• Free Swag Giveaways  
• Annual Holiday Party 
• Annual Summer Party  
• Invitations to pop-ups and other company events  
• Complimentary daily office snacks and beverages