Product Data Specialist

• Manage product data and category optimisation activities using established frameworks, governance standards, and trusted sources
• Create and maintain web hierarchies, primary product hierarchy structures, product attributes, lists of values, facets, display structures, and classification rules
• Conduct product and category data audits to identify gaps in quality, completeness, consistency, duplication, classification, and customer-facing information
• Complete data cleanup, enrichment, backfill, and structural improvements to support accurate and useful product information
• Partner with cross-functional stakeholders to gather requirements, validate changes, resolve product information issues, and communicate risks or downstream impacts
• Support implementation of approved product data changes and escalates complex issues or decisions requiring additional expertise or business approval
• Use approved AI and automation tools responsibly to improve efficiency while reviewing outputs for accuracy, completeness, relevance, and compliance

• Hands-on experience using approved AI tools responsibly, including writing clear prompts, grounding outputs in trusted source information, and reviewing results for accuracy, completeness, relevance, and compliance
• Ability to recognize AI limitations and know when human validation or escalation is required
• 1–2 years of experience working with product information, product content, e-commerce data, product data management, merchandising, business, or a related field
• Experience supporting product data audits, enrichment, taxonomy or hierarchy updates, attribute and facet management, or category improvement initiatives
• Working knowledge of Product Information Management systems such as STEP or MIRAKL
• Working knowledge of Microsoft Excel, product attributes, lists of values, facets, classification, and data quality principles
• Strong attention to detail, communication, organization, and problem-solving skills
• Ability to manage defined initiatives and collaborate across technical, operational, merchandising, and business teams
• French language proficiency is considered an asset

Demonstrates expertise in Product Data Management, including data audits, enrichment, and taxonomy updates, while effectively collaborating with cross-functional teams. Proficient in using AI tools responsibly to enhance data quality and compliance.

• Product Data Management
• Data Audits
• Product Information Management Systems
• Microsoft Excel
• AI Tools Proficiency

• Product Data Management
• Data Audits
• Taxonomy Updates
• Attribute Management
• Facet Management
• Data Quality Principles
• E-Commerce Data
• Product Content
• Merchandising
• Data Cleanup

• Attention to Detail
• Communication
• Organization
• Problem-Solving
• Collaboration

• Product Information
• Category Optimization
• Governance Standards
• Cross-Functional Collaboration
• Customer-Facing Information

• STEP
• MIRAKL
• AI Tools
• Automation Tools