Product Data & Agentic Commerce Manager

Accenture PLC; Raleigh (NC); On-site; USD 120,000 - 170,000; Full time

Benefits offered by this job

Client exposure

Executive coaching

Job summary

Accenture Song is seeking a Product Data & Agentic Commerce Manager to lead the product data strategy and its implementation within Agentic Commerce transformations. You will bridge AI agent requirements with client commercial and operational needs to enable data-driven revenue growth.

You will partner with CDOs, VPs of eCommerce, and category teams to shape data readiness, governance, and AI-ready content across multiple platforms and channels.

Qualifications

• Experience leading product data strategy and implementation in commerce transformations.
• Knowledge of PXM platforms (Salsify, Akeneo, Syndigo) and AI-ready content.
• Ability to design data governance and quality measurement frameworks.
• Strong stakeholder engagement with CDOs and VP-level executives.

Responsibilities

• Lead product data readiness assessments and diagnose gaps to AI-ready content.
• Define and implement product data value chain strategies across R&D, master data, and enrichment platforms.
• Establish unified product data foundations with complete attributes and consistent content.
• Translate AI discoverability requirements into concrete data architectures and roadmaps.
• Partner with senior client stakeholders to align product data with commercial priorities.

Skills

Product data strategy

AI readiness

PXM platforms

Stakeholder management

Data governance

Tools

Salsify

Akeneo

Syndigo

SAP

Salesforce

Job description

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 quality measurement frameworks that directly connect product attribute quality to AI discoverability outcomes and share of voice in AI-generated answers.

GEO Data Enablement & Protocol Readiness

• Drive the product data component of Generative Engine Optimization (GEO) programs - ensuring product content is structured, verified, and authoritative enough for LLMs to confidently cite, recommend, and surface brands in AI-generated answers.
• Lead assessments of product feed readiness for emerging agentic commerce protocols (MCP, ACP, UCP) - translating protocol data requirements into actionable specifications that client technology and content teams can execute against.
• Define and implement schema markup strategies - product schema, ingredient and claims schema, review schema - that increase brand visibility and citation confidence across AI-driven discovery surfaces.
• Audit and improve third-party product content ecosystems (retailer portals, syndication networks, review platforms) to strengthen a brand's AI citation footprint beyond its owned channels.
• Advise clients on sequencing product data investment across the Now / Near / Next Agentic Commerce journey - matching data readiness investments to protocol maturity and LLM platform adoption curves.

Data Governance, Quality & Brand Safety

• Define product data governance frameworks that manage attribute completeness, content freshness, and accuracy across all AI-facing channels.
• Establish product data quality KPIs and measurement systems: tracking attribute completeness scores, AI citation rates, share of voice in LLM responses, and product-level recommendation accuracy as direct outcomes of data quality investment.
• Build and govern structured product data pipelines that ensure consistency and traceability from source systems (R&D, master data) through to the agent-facing surface.
• Implement responsible data management practices ensuring accuracy of ingredient claims, allergen data, health and beauty assertions, and regulatory compliance in AI-mediated product recommendations - understanding that an AI agent surfacing incorrect product claims carries both commercial and regulatory risk.

Consulting & Commercial Leadership

• Engage senior client stakeholders - CDOs, VPs of eCommerce, CMOs, and category directors - to articulate why product data is the foundational investment that determines Agentic Commerce success or failure, and translate that into an actionable business case.
• Develop executive presentations, value cases, and roadmaps that connect product data quality gaps to commercial risk, AI visibility loss, and competitive displacement - framing data investment in terms that drive CFO and board-level action.
• Lead the product data workstream within end-to-end Agentic Commerce programs, managing timelines,