Data Product Manager — Scalable Analytics & Insights

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

Benefits offered by this job

Healthcare benefits

401(k) match

Unlimited PTO

Employee discounts

LinkedIn Learning access

Job summary

SKIMS is seeking a Product Manager, Data to shape and deliver data products and enable trusted, actionable information across the business. You will translate business needs into a clear data product strategy, roadmap, and backlog, focusing on reusable capabilities rather than one-off reports.

The role partners with Data Engineering, Analytics, Data Science, and teams across Digital, Retail, Merchandising, Planning, Finance, Marketing, Operations, and Technology to drive impactful data solutions.

Qualifications

• 4+ years of experience in product management, technical product management, data and analytics, or related field.
• Experience defining product roadmaps, managing backlogs, and delivering cross-functional technical initiatives.
• Strong understanding of data warehouses, pipelines, data modeling, BI, and analytics workflows.
• Working knowledge of SQL and ability to explore data and validate requirements.
• Experience with Agile delivery, UAT, and product management tools.

Responsibilities

• Define and maintain a data product roadmap aligned with SKIMS' priorities.
• Identify reusable data assets and self-service capabilities across functions.
• Prioritize investments based on value, dependencies, and scalability.
• Translate business needs into product requirements and acceptance criteria.
• Own the backlog and coordinate with Data Engineering, Analytics, and delivery teams.

Skills

Product management

Data analytics

SQL

Agile delivery

Stakeholder management

Education

Bachelor's degree or equivalent

Tools

Snowflake

dbt

Looker

Fivetran

Shopify

Job description

SKIMS is seeking a Product Manager, Data to shape and deliver data products and enable trusted, actionable information across the business. You will translate business needs into a clear data product strategy, roadmap, and backlog, focusing on reusable capabilities rather than one-off reports.

The role partners with Data Engineering, Analytics, Data Science, and teams across Digital, Retail, Merchandising, Planning, Finance, Marketing, Operations, and Technology to drive impactful data solutions.