Sr. Product Manager (Retail)

About the role

The company brings joy and color to consumers with functional, accessible products, using soft materials and iconic prints that appeal to all generations. It operates as a vertical retailer, with over 100 stores in the U.S., two websites, and a strong presence in department stores, specialty retailers, and online marketplaces.

Key Responsibilities

• Own and evolve retail data and analytics products, including reporting, price and promotion, attribution and media mix, store testing, and audience segmentation
• Develop a deep understanding of retail business processes (current and future state), quickly mapping workflows and identifying where analytics, technology, or process changes can materially improve outcomes such as profitability, efficiency, and shopper experience
• Partner closely with stakeholders across merchandising, marketing, stores, eCommerce, and operations to ensure solutions are grounded in empathy, curiosity, and real business needs
• Define clear success metrics and Definitions of Done (acceptance criteria) for analytics solutions, validating with stakeholders that delivered outcomes meet expectations and solve the intended problem
• Build, maintain, and clearly communicate a data and analytics roadmap, ensuring stakeholders understand what is being delivered, why it is prioritized, and how it supports business goals
• Lead backlog management, user story development, sprint reviews, and ongoing engagement with analytics, engineering, and leadership teams
• Maintain rigorous prioritization across competing requests, balancing near-term value with long-term scalability and avoiding unnecessary analytical debt
• Lead user discovery and design for analytics and reporting solutions, ensuring insights are intuitive, actionable, and easy for teams to adopt
• Support store and eCommerce testing initiatives, helping teams measure impact, optimize assortment, pricing, and promotions, and improve overall retail performance
• Facilitate data architecture and vendor integration decisions to ensure analytics platforms support current and future retail use cases
• Create business cases for key analytics investments, applying disciplined build-vs-buy decision making
• Create go-to-market plans for analytics products, including training, enablement, adoption measurement, and feedback loops
• In the near term, lead the successful delivery of key analytics initiatives while contributing to the longer-term design and scaling of the analytics delivery model and team

Requirements

• 6+ years of experience in data, analytics, or product management with customer heavy data
• Experience in retail environments (stores and/or eCommerce) strongly preferred
• Strong process orientation with the ability to quickly understand, document, and improve complex workflows
• Demonstrated strength in stakeholder management and communication, including influencing without authority
• Experience working in Agile environments, including writing strong user stories and defining clear Definitions of Done
• Prioritized skills with the ability to clearly articulate trade-offs and sequencing decisions
• Curiosity and empathy for users, paired with a strong product discovery mindset
• Ability to translate analytics into compelling narratives that drive decisions and action

Qualifications

• Bachelor’s degree required
• Preferred Qualifications: Working knowledge of retail analytics domains such as price and promotion, store testing, audience segmentation, attribution/incrementality, assortment optimization, and price/promotion; Exposure to B2B or small-to-medium business customers; Familiarity with common data and analytics technologies and comfort partnering with technical teams and external vendors; Leadership experience related to leading other product team members; Master’s degree welcomed

Benefits

• Competitive salary and annual bonus eligibility
• Comprehensive benefits package
• Flexible work arrangements with required travel for on-site collaboration
• Opportunity to lead high-impact analytics initiatives in a retail environment