Digital Operations, Item Specialist

Description

EVEREVE inspires women to move forward in their fashion so that they feel fully alive. By offering modern, curated trends from 150+ brands, including our own best-selling line—along with warm, genuine advice,we deliver a styling experience made personal. Our 110+ stores, booming e-commerce business, and fast-growing subscription box service, Trendsend, reach over two million customers every year.

Living our core brand values and treating everyone with HEART (humility, empathy, authenticity, relationships, tenacity) creates a shared purpose and collaborative community—and it's also a key part of our success. Join our team to help shape the future of an ever-growing, ever-evolving brand!

Reports to:

Digital Item & AI Lead | Level: 4 | Open Roles: 2

The Digital Operations, Item Data Specialist supports the accuracy, completeness, governance, and publication of item data across the digital commerce ecosystem, with an increasing emphasis on preparing product data for AI-enabled experiences, automation, search, content generation, recommendations, and operational decision-making. This role is responsible for product setup, enrichment, descriptions, fit notes, product grouping, brand setup, metafield maintenance, and publishing readiness across categories, ensuring all work follows strong AI protocol, structured data standards, and consistent governance practices.

The specialist partners with merchandising, buying, creative, marketing, technology, store operations, and other cross-functional teams to ensure product data is clean, scalable, searchable, machine-readable, operationally reliable, and ready to support both current business needs and future AI-driven workflows.

• 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.

• Own enterprise discount code setup, execution, validation, and maintenance in support of promotional campaigns, sale events, and business priorities, while ensuring promotional data follows approved governance and AI-aware data protocols.
• Support sale setup and scheduling, ensuring promotional pricing, site execution, and related item data are accurate, structured, documented, and aligned to timelines.
• Create, configure, and maintain gift card setup and related item data requirements in a way that supports clean reporting, consistent customer experiences, and future automation.
• Maintain store and local listings data, including store GEO details, to support accurate customer-facing location information, local commerce experiences, structured location data, and AI-enabled discovery.
• Partner with marketing, retail/store operations, digital commerce, and technology teams to troubleshoot promotion, gift card, store listing, and location data issues that may affect customer experience, automation, search, or AI-enabled outputs.
• Document repeatable processes and quality checks for discount operations, gift card setup, store listing accuracy, and structured data readiness.