Sr. Product Manager || PIM- Product Information Management || Merchandising || Retail & Ecommerce
Spotted 3d agoContract
Job details
- Employment
- Contract
- Level
- Senior
- Experience
- 4+ years
- Posted
- Oct 8, 2026
- Last confirmed open
- Oct 8, 2026
Job description
About this role
Job description:
- 4+ years of experience in product management, functional product ownership, business systems, business analysis, or a related role supporting cross-functional initiatives.
- Strong retail experience with hands-on knowledge of general merchandising processes; this is the most critical requirement.
- Experience supporting digital merchandising, buying, product content, eCommerce, or closely related retail business functions.
- Experience translating business needs into user stories, functional requirements, acceptance criteria, and prioritized backlogs.
- Hands-on experience with story grooming, Agile delivery practices, and user acceptance testing (UAT).
- Experience working with PIM platforms or product information processes; MDM systems experience is also applicable.
- Business-oriented understanding of product data, taxonomy, attributes, catalog structure, workflows, and reporting.
- Ability to partner effectively with merchandising, planning, data, and technology teams while maintaining a functional business perspective.
- Strong analytical, organizational, facilitation, and communication skills, with the ability to manage multiple priorities and stakeholder groups.
- Working knowledge of AI concepts and the ability to identify ways product information may support customer-facing AI, content generation, personalization, or recommendation use cases.
Nice to have:
- Experience with merchandise planning, merchandising analytics, reporting, or adjacent planning processes.
- Experience with STIBO Systems or another enterprise PIM platform.
- Exposure to PIM or MDM implementation, migration, validation, reconciliation, or rollout activities.
- Experience bridging buyer and digital merchandising workflows.
- Data analysis or reporting experience that can support merchandising decisions and product information quality.
- Experience applying AI or machine learning capabilities to product content, recommendations, personalization, or other customer-facing retail experiences.
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