Product Data & Agentic Manager

About Accenture Song Accenture Song accelerates growth and value for our clients by combining creativity, technology, and data-driven intelligence. Within Song, the Customer Technology – Commerce practice helps organizations design, build, and scale modern digital commerce ecosystems that deliver personalized, seamless, and intelligent customer experiences.

As AI agents increasingly mediate how consumers discover, evaluate, and purchase products, the quality and structure of product data has become the single most critical lever in commerce. We help brands transform their product data foundations — from fragmented master data and legacy PIM systems to AI-ready, structured product content that agents can find, trust, and act on across every channel.

WHAT'S IN IT FOR YOU?

Lead the product data foundation that powers Agentic Commerce transformations for leading brands.

Work at the intersection of product experience management, AI discoverability, and digital commerce — where data quality directly determines commercial outcomes.

Define how brands structure, enrich, and syndicate product content so AI agents can find, trust, and transact on it reliably.

Shape Accenture's product data readiness frameworks, GEO data offerings, and AI-ready PXM accelerators.

Partner with GEO specialists, commerce architects, and client commercial teams to build the data foundation every agentic capability depends on.

What You Would Do in This Role As a Product Data & Agentic Commerce Manager, you will lead the product data strategy and implementation workstream within Agentic Commerce transformation engagements. You will be the bridge between what AI agents require to surface and transact on products, and what clients need to do commercially and operationally to get there.

Product Data Strategy & AI Readiness Lead product data readiness assessments for clients — diagnosing the gaps between current data states and the structured, machine-readable content that AI agents require to discover, recommend, and transact on products.

Define and implement product data value chain strategies: from R&D and master data systems (SAP, Salesforce) through PXM enrichment and digital shelf management to AI-ready product feeds consumed by LLMs and agentic commerce protocols.

Establish unified, structured product data foundations — ensuring attribute completeness, data quality, and content consistency across master data, PXM platforms, and channel-specific feed outputs.

Translate AI discoverability requirements — LLM citation signals, agentic recommendation ranking factors, protocol data specifications — into concrete product data architectures and prioritized enrichment roadmaps.

Partner with client Chief Digital Officers, VPs of eCommerce, and category management teams to align product data strategy with commercial priorities and measurable P&L outcomes.

PXM, Product Content & Digital Shelf Excellence Lead PXM strategy and platform implementation across Salsify, Akeneo, and Syndigo — guiding clients from PIM-only data management to AI-ready PXM capability built for agentic commerce surfaces.

Define product attribute schemas and content standards that serve both human-facing commerce surfaces and machine-readable AI requirements — including ingredient claims, usage occasions, consumer benefit attributes, and structured comparison data.

Design and oversee AI-assisted product content enrichment programs — structuring and scaling enrichment across portfolios of hundreds to thousands of SKUs at commercially relevant pace.

Architect product feed designs that support multi-channel syndication across retailer portals, marketplace platforms, LLM discovery surfaces, and emerging agentic commerce protocol integrations.

Establish data completeness and…