Live the experience. From professional empowerment to continual learning opportunities. From ongoing investment in new and emerging technologies to a career of self-determination. At Ulta Beauty, our tech team is critical to our scalability—and is recognized that way. We’ve been defined as a “mature start-up.” A place where interdepartmental exposure, open doors, and genuine collaboration is ubiquitous. Where challenges come fast and furious, requiring agility, mental dexterity, and creativity. Where our passion for better solutions drives us and is core to who we are. We’re engineering for the future of retail, and it’s no-holds-barred. But for those motivated by continual change and ambiguity, by superior leadership, by whip smart colleagues who will press you daily for your very best, you’ll find that virtually nothing’s impossible at Ulta Beauty. THE IMPACT YOU CAN HAVE: The Product Owner is a key member of a Product team within the Merchandising Technology portfolio, responsible for delivering data and analytics capabilities that enable end to end merchandising & inventory planning. Partnering with the Product Manager, they translate strategic objectives into a prioritized backlog and roadmap aligned to outcomes such as sales, margin, inventory productivity, and forecast accuracy, supporting capabilities across master data management, assortment planning, demand forecasting, allocation, and replenishment. They will define and refine user stories with a strong focus on data accuracy, usability, and extensibility, working closely with Product Managers, Engineers, and shared service teams to ensure clear acceptance criteria, data validation, and governance standards are met. This includes ensuring data is structured, accessible, and of sufficient quality to support advanced analytics and AI use cases such as predictive forecasting, optimization, and automated decisioning. Collaborating with merchandising, planning, inventory, and finance stakeholders, they manage cross-system dependencies and act as the liaison between business and delivery teams, driving alignment, data quality, and adoption of analytics and AI-enabled solutions.
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Job Type
Full-time
Career Level
Mid Level