Responsibilities

• Lead Agentic Commerce Strategy
• Own the Division’s multi-year roadmap and execution plan for Agentic Commerce, ensuring readiness across retailer AI assistants, agentic shopping experiences, and external AI discovery ecosystems.
• Partner with IT, Digital Enablement, and Regulatory teams to define the structured data, metadata, product attributes, and clarity signals required for AI-based recommender engines to interpret and elevate C&B products.
• Be accountable for Leadership-aligned AI visibility metrics—including visibility ranking, recommendation frequency, attribute accuracy, digital completeness, and AI-generated product representation—and translate performance gaps into strategic priorities.
• Partner with SRM, Category, and CDCE to ensure data, content, commercial inputs, and annual resourcing needs are aligned to the Division’s Agentic Commerce strategy.
• Provide AI-informed commercial inputs for joint business planning, line reviews, and omni-category assessments.
• Digital Shelf & Conversion Excellence
• Set the Division’s standards for AI-ready digital shelf excellence, ensuring PDP content, taxonomy, navigation, variation structures, and product attributes improve both human conversion and machine readability.
• Partner with the eCommerce Enablement team to use Salsify, Syndigo, NIQ, and emerging AI visibility tools to diagnose performance gaps, prioritize interventions, and inform content, data, and technology needs.
• Connect content, paid search, retail media, reviews, availability, and external authority signals into a unified conversion strategy across the digital path to purchase.

Requirements

• Bachelor’s Degree required; advanced degree preferred.
• 5+ years in eCommerce, digital strategy, category leadership, or data-driven commercial roles preferred.
• AI-Fluency and familiarity with retailer agents and external AI tools (e.g., Rufus, Sparky, ChatGPT, Gemini, Copilot, Claude) is required.
• Experience with data modeling, metadata governance, digital shelf tools, and retail media preferred.
• Strong analytical skillset with the ability to convert complex data into simple strategic stories.
• Proven influence skills across cross-functional teams; ability to lead without authority.
• Comfortable navigating ambiguity and building net-new capabilities.

Preferred

• Thinks several steps ahead; operates as a future architect, not a process executor.
• Highly curious and proactive in understanding emerging AI retail technologies.
• Translates ambiguity into structured frameworks and repeatable processes.
• Balances strategic vision with hands-on execution.
• Inspires cross-functional partners and elevates organizational digital maturity.