- 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 Requirements - Hands-on experience using approved AI tools responsibly, including writing explicit 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. Highest-signal resume keywords - Product Data Management
- Data Audits
- Product Information Management Systems
- Microsoft Excel
- AI Tools Proficiency ATS Optimization Keywords Hard Skills - Product Data Management
- Data Audits
- Taxonomy Updates
- Attribute Management
- Facet Management
- Data Quality Principles
- E-Commerce Data
- Product Content
- Merchandising
- Data Cleanup Soft Skills - Attention to Detail
- Communication
- Organization
- Problem-Solving
- Collaboration Industry Keywords - Product Information
- Category Optimization
- Governance Standards
- Cross-Functional Collaboration
- Customer-Facing Information Tools & Technologies - STEP
- MIRAKL
- AI Tools
- Automation Tools

📌 Product Data Specialist (Vancouver)
🏢 Jobtailor
📍 Vancouver