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Product Information Specialist

Job in Peoria, Peoria County, Illinois, 61639, USA
Listing for: Jobtailor
Full Time position
Listed on 2026-07-20
Job specializations:
  • IT/Tech
    Data Analyst, Information & Knowledge Management, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 65000 - 95000 USD Yearly USD 65000.00 95000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Execute product authoring, maintenance, enrichment, publication, and retirement activities throughout the product lifecycle
  • Support assortment growth initiatives by onboarding and enriching new products, supplier assortments, and expanded product lines
  • Acquire, validate, normalize, enrich, and maintain product information from suppliers, manufacturers, data aggregators, AI-generated content, and internal sources
  • Maintain product specifications, descriptions, images, documents, attributes, classifications, and supporting product content across systems
  • Execute product taxonomy mapping, category assignments, SKU reclassification, and product classification initiatives
  • Support taxonomy modernization efforts designed to improve customer navigation, product discoverability, filtering, and search experiences
  • Execute attribute mapping, attribute assignment, inheritance models, and ongoing maintenance of category-level attribute frameworks
  • Support development and maintenance of approved attribute value standards and Lists of Values (LOVs)
  • Validate products against established taxonomy, classification, attribute, and content governance standards
  • Monitor and maintain product eligibility standards across eCommerce, marketplaces, syndication partners, and other digital channels
  • Identify products that fail eligibility, enrichment, content, attribute, or quality standards and execute corrective actions
  • Conduct data quality audits and remediation activities to improve completeness, consistency, accuracy, and usability
  • Support website redesign, search optimization, navigation improvements, merchandising enhancements, and digital transformation initiatives
  • Partner with Digital Merchandising to improve product discoverability and customer engagement through improved content, classifications, and attributes
  • Support creation and maintenance of product relationships including accessories, alternatives, substitutes, related items, and cross-sell opportunities
  • Support Product Information Management (PIM) implementation, migration, validation, testing, training, and ongoing administration activities
  • Execute product data migration, mapping, transformation, cleansing, and validation activities across systems
  • Assist with development and documentation of product information standards, processes, operating procedures, and eCommerce data models
  • Coordinate with suppliers and internal stakeholders to obtain, validate, and improve product information
  • Support continuous improvement efforts focused on customer experience, product information quality, operational efficiency, and digital growth
Requirements
  • Bachelor's degree or equivalent experience in Business, Product Information Management, Merchandising, Marketing, Data Management, eCommerce, or related field
  • 2+ years of experience in product content management, product information management, merchandising operations, eCommerce, master data, or related disciplines
  • Experience working with large product catalogs and detailed product information
  • Experience performing general product enrichment, data cleanup, mapping, validation, and maintenance activities
  • Strong understanding of taxonomy, classification, attributes, product content, and customer-facing product experiences
  • Experience working with supplier, manufacturer, and third-party data aggregator content feeds, including data mapping, transformation, standardization, enrichment, and validation activities to improve product content quality, attribute coverage, and overall product information completeness
  • Strong organizational, analytical, and problem-solving skills
  • Advanced proficiency in Excel and experience analyzing large datasets to identify key trends and patterns
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