Product Data & Agentic Commerce Manager
Role Overview
The manager leads product data strategy and implementation within agentic commerce transformation engagements.
The role connects the product data requirements of AI agents with client commercial and operational needs.
Product data quality and structure support AI systems in discovering, recommending, and transacting on products.
Key Skills for This Role
Full Job Posting
About the practice
Accenture Song combines creativity, technology, and data-driven intelligence to support client growth.
Customer Technology – Commerce helps organizations design, build, and scale digital commerce ecosystems.
Role overview
The manager leads product data strategy and implementation within agentic commerce transformation engagements.
The role connects the product data requirements of AI agents with client commercial and operational needs.
Product data quality and structure support AI systems in discovering, recommending, and transacting on products.
Product data strategy and AI readiness
- Assess client product data readiness and identify gaps against machine-readable AI requirements.
- Develop product data strategies across R&D and master data systems, PXM enrichment, digital shelf management, and AI-ready product feeds.
- Establish structured product data foundations with complete attributes, quality, and consistent content.
- Translate AI discoverability and protocol requirements into data architectures and prioritized roadmaps.
- Align product data strategy with client commercial priorities and P&L outcomes.
PXM and digital shelf
- Lead PXM strategy and platform implementation across Salsify, Akeneo, and Syndigo.
- Define product attribute schemas and content standards for commerce and machine-readable uses.
- Oversee AI-assisted enrichment across portfolios of hundreds to thousands of SKUs.
- Design multi-channel product feeds for retailer portals, marketplaces, LLM discovery, and agentic commerce integrations.
- Measure data completeness and quality against AI discoverability outcomes.
GEO and protocol readiness
- Lead product data work for GEO programs so LLMs can cite and recommend structured, verified product content.
- Assess product feed readiness for MCP, ACP, and UCP protocols and translate requirements into actionable specifications.
- Define product, ingredient, claims, and review schema markup strategies.
- Audit retailer portals, syndication networks, and review platforms to improve AI citation visibility.
Role capabilities
- The role requires leadership of product data strategy and implementation workstreams for client transformation engagements.
- The role involves partnering with client digital, e-commerce, category management, technology, and content teams.
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