AI-Ready Item Data Specialist

Paylocity; Edina, Northern (MN, KY); Hybrid; USD 68,000 - 90,000; Full time

Job summary

EVEREVE is seeking a Digital Item Data Specialist for our Edina, MN headquarters. This onsite role focuses on accurate item data governance, product descriptions, metafields, and AI-ready enrichment across our digital commerce ecosystem, supporting catalog, search, and personalization initiatives.

You will collaborate with merchandising, buying, creative, marketing, technology, and store operations to ensure clean, scalable data and compliant AI workflows that power AI-enabled experiences and

Qualifications

• 4 years of experience in e-commerce operations, product data, digital merchandising, catalog management, master data management, retail operations, or a related field.
• Strong attention to detail with the ability to manage high-volume product data accurately, efficiently, and in alignment with defined data governance and AI readiness standards.
• Experience working with Shopify or similar e-commerce platforms; familiarity with PIM, MDM, ERP, CMS, digital asset, or product data tools preferred.
• Proficiency with Excel or similar data tools, including sorting, filtering, lookups, bulk data review, data quality checks, and structured data validation.
• Ability to write clear, customer-facing product descriptions and fit notes while maintaining brand, category, structured data, taxonomy, and AI protocol standards.
• Understanding of how clean item data, consistent attributes, naming conventions, taxonomy discipline, and normalized content support automation, search, personalization, reporting, and AI-enabled business processes.
• Strong organizational and prioritization skills, with the ability to manage deadlines, recurring processes, cross-functional dependencies, and governance-driven checkpoints.
• Comfort working with imperfect or evolving data, identifying root causes, resolving inconsistencies, and improving repeatable processes that strengthen data quality and AI readiness over time.
• Strong communication skills and ability to partner effectively with merchandising, buying, marketing, creative, technology, stores, and operations teams to drive shared accountability for item data quality and AI-ready execution.

Responsibilities

• Execute accurate and timely product setup across assigned categories, ensuring item records are complete, consistent, structured, ready for digital publishing and AI-enabled downstream use.
• Enrich product data, attributes, metafields, product groupings, brand setup, descriptions, and fit notes to support customer experience, search, filtering, merchandising, conversion, automation, and AI readability.
• Maintain and reconstruct product data in Shopify and related systems as needed to support operational accuracy, scalable catalog management, machine-readable data structures, and governance-aligned AI readiness.
• Apply established AI protocol and data governance standards when creating, editing, validating, or publishing item data, with attention to consistency, completeness, naming conventions, taxonomy alignment, and structured attribute quality.
• Support monthly catalog shot list summaries and product availability readiness by coordinating with merchandising, buying, creative, and inventory partners.
• Identify, investigate, and resolve incomplete, conflicting, outdated, duplicative, or inaccurate product information prior to publication, especially where gaps may limit automation, search performance, personalization, or AI-enabled workflows.
• Partner cross-functionally to clarify requirements, resolve data issues, improve workflows, and maintain high standards for item data quality, AI readiness, and operational scalability.

Job description

EVEREVE is seeking a Digital Item Data Specialist for our Edina, MN headquarters. This onsite role focuses on accurate item data governance, product descriptions, metafields, and AI-ready enrichment across our digital commerce ecosystem, supporting catalog, search, and personalization initiatives.

You will collaborate with merchandising, buying, creative, marketing, technology, and store operations to ensure clean, scalable data and compliant AI workflows that power AI-enabled experiences and