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Job Description & How to Apply Below
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 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.
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
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