Data Product Manager, Apparel & Analytics

Skims; Los Angeles (CA); On-site; USD 165,000 - 180,000; Full time

Benefits offered by this job

Up to 100% Company Paid Healthcare (m­

Kind Body Fertility Benefits

401(k) savings plan with up to 4% 매

Unlimited PTO

Full Access to LinkedIn learning

Employee Discounts

Job summary

SKIMS is seeking a Product Manager, Data to shape and deliver scalable data products that empower decision-making across the business. You will translate business needs into a data product strategy, roadmap, and prioritized backlog, partnering with Data Engineering, Analytics, Data Science, and teams across Digital, Retail, Merchandising, Planning, Finance, Marketing, Operations, and Technology.

The ideal candidate blends product discipline, technical fluency, and strong business judgment to

Qualifications

• 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.
• Bachelor’s degree in business, computer science, information systems, analytics, or a related field, or equivalent practical experience.

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.
• Define success metrics for adoption and impact on business decisions.

Skills

Product management

Data & analytics

SQL

Agile

Stakeholder management

Communication

Analytical thinking

Education

Bachelor’s degree

Tools

Snowflake

dbt

Looker

Fivetran

Shopify

NetSuite

Job description

SKIMS is seeking a Product Manager, Data to shape and deliver scalable data products that empower decision-making across the business. You will translate business needs into a data product strategy, roadmap, and prioritized backlog, partnering with Data Engineering, Analytics, Data Science, and teams across Digital, Retail, Merchandising, Planning, Finance, Marketing, Operations, and Technology.

The ideal candidate blends product discipline, technical fluency, and strong business judgment to