Digital Operations & AI Lead

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! 

Role Overview

Reports to: Director of Site Merchandising | Level: 6 | Team: 2 direct reports  

The Digital Operations & AI Lead owns the strategy, standards, and operating model for AI-enabled product data across the digital commerce ecosystem. This role ensures item data is accurate, governed, scalable, and ready to support automation, search, recommendations, fulfillment accuracy, lifecycle management, and return reduction. 

This position manages two Digital Operations, Item Data Specialists and provides direction, prioritization, coaching, and process oversight for product setup, enrichment, promotional execution, gift cards, store listings, GEO accuracy, item lifecycle, and AI governance. The role partners with merchandising, marketing, technology, stores, fulfillment, analytics, and operations teams to improve data quality and scale AI-enabled digital operations. 

Key Responsibilities

• AI-Enabled Product Data Strategy 
• Own the AI-enabled product data strategy, ensuring item information is structured, governed, scalable, and ready for automation, search, recommendations, personalization, and future AI-enabled workflows. 
• Translate business needs into practical data requirements, standards, workflows, and operating procedures. 
• Identify opportunities to reduce manual work and improve accuracy through structured data improvements, rules-based workflows, automation, and AI-supported execution. 

Data Governance, Taxonomy & Standards

• Develop and enforce governance standards for product attributes, metafields, taxonomy, naming conventions, descriptions, fit notes, lifecycle status, and publication readiness. 
• Establish quality standards and validation checkpoints that improve catalog accuracy, searchability, customer experience, reporting, and AI readiness. 
• Maintain documentation and training materials that help the team and cross-functional partners apply standards consistently. 

Item Lifecycle, Catalog Operations & Publishing Readiness

• Oversee end-to-end item lifecycle operations, including setup, enrichment, publishing readiness, availability tracking, automated unpublish rules, seasonal archiving, and item status maintenance. 
• Monitor catalog readiness, data quality issues, lifecycle bottlenecks, and recurring process gaps; prioritize improvements that increase accuracy, speed, and scalability. 
• Guide the team in resolving incomplete, conflicting, outdated, duplicative, or inaccurate product data before it impacts customers, fulfillment, reporting, or automation. 

Promotions, Store Data & Cross-Functional Execution

• Oversee discount code setup, sale execution, promotional readiness, gift cards, store listings, local listings, and store GEO accuracy. 
• Ensure promotional and location-related data follows governance standards, is documented, and is executed accurately against business timelines. 
• Partner cross-functionally to troubleshoot issues affecting promotions, store data, customer experience, search, automation, or AI-enabled outputs. 

Fulfillment Performance & Return Guidance

• Develop fulfillment standards that connect digital product data quality to accurate execution and customer expectations. 
• Manage digital return guidance by identifying product data, description, fit note, taxonomy, imagery, or operational gaps that may contribute to avoidable returns. 
• Use fulfillment and return feedback loops to improve descriptions, attributes, fit guidance, enrichment practices, and operational standards. 

Operational Metrics, Reporting & Continuous Improvement

• Define and maintain metrics that provide visibility into catalog readiness, data completeness, data quality, publishing timeliness, lifecycle status, automation performance, returns, and team throughput. 
• Use reporting to identify process gaps, prioritize improvements, and communicate progress to stakeholders. 
• Lead continuous improvement efforts that reduce rework, improve speed to publish, and strengthen AI-ready operations. 

Team Leadership

• Lead, coach, and prioritize work for two Digital Operations, Item Data Specialists. 
• Set expectations for accuracy, timeliness, documentation, governance adherence, AI-aware data practices, and cross-functional communication. 
• Balance daily execution with longer-term improvements to process, standards, tooling, automation, and team capability. 

Requirements

Qualifications

• 7+ years of experience in e-commerce operations, product data, digital merchandising, catalog management, master data management, retail operations, digital transformation, or a related field. 
• Experience leading people, projects, workflows, or cross-functional initiatives in a fast-paced digital commerce or retail environment. 
• Strong understanding of product data governance, taxonomy, structured attributes, data quality, catalog operations, lifecycle management, and digital publishing workflows. 
• Working knowledge of AI-enabled operations, automation, machine-readable content, search, recommendations, personalization, or data readiness for analytics and AI use cases. 
• Experience with Shopify or similar e-commerce platforms; familiarity with PIM, MDM, ERP, CMS, digital asset, reporting, or workflow tools preferred. 
• Strong analytical, organizational, and communication skills with the ability to translate strategy into clear standards, metrics, and work plans.