Product Manager, Data

SKIMS

. Define and maintain a data product roadmap aligned with SKIMS’ strategic and operational priorities.

Posted 11/4/2026full-timeLos Angeles • California • United StatesMid-LevelSenior💰 $165,000 - $180,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product management with a focus on data products, including defining roadmaps, managing backlogs, and ensuring data quality and usability. Strong ability to translate business needs into technical specifications while fostering collaboration across diverse teams.

Highest-signal resume keywords

Product ManagementData WarehousingSQL ProficiencyAgile Delivery PracticesStakeholder Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product Roadmap DefinitionData ModelingBusiness IntelligenceUser Acceptance TestingTechnical Specifications

Soft Skills

Facilitation SkillsWritten CommunicationAnalytical JudgmentPresentation Skills

Tools & Technologies

SnowflakeDbtLookerFivetranShopify

Industry Keywords

EcommerceRetailConsumer-Facing BusinessData GovernanceOmnichannel Sales

Tech Stack

Tools & technologies

ERPSnowflakeSQL

About the role

Key responsibilities & impact

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 product outcomes, success measures, and decision criteria for roadmap initiatives.
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 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 across technical and business teams.
Own the product backlog and partner with Data Engineering, Analytics, and other delivery teams to execute 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.
Champion consistent business definitions, 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.
Build relationships across Ecommerce, Retail, Merchandising, Planning, Finance, Marketing, and Operations.
Drive adoption through communication, training, documentation, and 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.

Requirements

What you’ll need

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

Benefits

Comp & 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