Product Data & Agentic Commerce Lead

Accenture

Redmond (WA)

On-site

USD 101,000 - 270,000

Full time

8 days ago

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Job summary

Accenture Song is seeking a Product Data & Agentic Commerce Manager to lead product data strategy and implement AI-ready content across multi-channel commerce transformations. You will bridge AI agent requirements with client commercial needs, overseeing data enrichment, governance, and cross-functional collaboration.

Lead data readiness assessments, establish schemas, and drive KPI-driven improvements to AI discoverability and commercial outcomes across global brands.

Qualifications

  • 6+ years of experience in product content management, digital commerce, or customer technology.
  • 5+ years of hands-on platform experience with PXM and PIM systems (Salsify, Akeneo, Syndigo).
  • Deep expertise in product data strategy, enrichment, and governance at scale.
  • Experience leading data quality programs and multi-stakeholder engagements.

Responsibilities

  • Lead the product data strategy and implementation workstream within Agentic Commerce transformations.
  • Define and implement product data value chain strategies across R&D, master data, and PXM enrichment.
  • Architect data foundations for AI-ready product feeds consumed by LLMs and agentic protocols.
  • Design AI-ready product content enrichment programs at portfolio scale.
  • Establish data completeness and quality measurement tied to AI discoverability and share of voice.
  • Engage senior client stakeholders to articulate the business case for product data investment.

Skills

Product data strategy
PXM platforms

Tools

Salsify
Akeneo
Syndigo
SAP
Salesforce

Job description

Accenture Song is seeking a Product Data & Agentic Commerce Manager to lead product data strategy and implement AI-ready content across multi-channel commerce transformations. You will bridge AI agent requirements with client commercial needs, overseeing data enrichment, governance, and cross-functional collaboration.

Lead data readiness assessments, establish schemas, and drive KPI-driven improvements to AI discoverability and commercial outcomes across global brands.

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