Own and drive the product strategy, roadmap, and backlog for retail-facing systems (e.g., Pricing, Promotions, Supplier Portal, Deals/Funding, Merchandising workflows)
Ensure alignment between product initiatives, business priorities, and technical feasibility
Conduct competitive benchmarking and market research to keep products innovative and aligned with industry trends
Partner with Commercial, Buying, Finance, and Operations teams to translate business needs into detailed product requirements
Develop clear user stories, acceptance criteria, workflows, and functional specifications
Facilitate alignment across stakeholders and manage expectations throughout the product lifecycle
Lead end-to-end product delivery—from discovery and requirement gathering to release and post-launch optimization
Facilitate Agile ceremonies including sprint planning, backlog grooming, demos, and retrospectives
Collaborate with engineering, QA, UX, and data teams to ensure scalable and high-quality solutions
Manage integrations across upstream and downstream systems such as RMS, ERP, pricing and promotion portals, supplier tools, and financial systems.
Ensure product designs account for APIs, workflows, system dependencies, and data models
Analyze product performance using data insights and KPIs
Identify improvement opportunities and drive enhancements based on stakeholder feedback and operational metrics
Support onsite discovery or rollout activities as needed.
Requirements
8 years’ experience as a Product Owner in ecommerce or retail environments (mandatory)
Strong understanding of retail processes including pricing, promotions, deals/funding workflows, supplier collaboration, merchandising, assortment planning, and financial reconciliation
Demonstrated ability to translate business requirements into user stories, functional specifications, and wireframes
Solid understanding of system integrations, APIs, workflows, and data models
Hands-on experience working in Agile/Scrum environments
Strong analytical and problem-solving skills with experience using dashboards, queries, and data analysis tools
Experience working with AI/ML-enabled tools (e.g., generative AI, recommendation engines, automation workflows) is a plus
Excellent communication skills with the ability to collaborate effectively across multiple teams and stakeholders
Strong stakeholder management and facilitation skills
Willingness to travel for short-term onsite discovery or rollout support.