Product Content Operations Analyst

About the Role

Audit and optimize product content across DAM, PIM, and web platforms, identifying outdated, duplicate, incomplete, inaccurate, or missing content and coordinating remediation. Improve DAM asset quality and governance through standardized metadata, tagging, classification, naming, lifecycle management, and asset retirement processes. Improve PIM data quality and completeness by identifying duplicate or inaccurate records, addressing product information gaps, and standardizing product attributes, descriptions, and supporting content. Review and optimize product content on the company website, ensuring published product information and editorial content are accurate, complete, current, and aligned with approved product messaging and source systems. Coordinate content creation, enrichment, review, approval, and publication with Product Management, Portfolio Marketing, Digital Customer Experience, regional teams, and subject matter experts. Establish and document scalable content governance and workflows connecting product lifecycle stages with DAM, PIM, and web publishing requirements. Leverage AI and automation tools to support content analysis, classification, metadata generation, product data enrichment, gap identification, and other content operations activities. Develop reporting and performance metrics to track content quality, audit progress, remediation, completeness, and ongoing operational health. Drive continuous improvement using The Company Operating System methodologies, establishing repeatable processes, clear ownership, accountability, and management cadence.

Responsibilities

• Audit and optimize product content across DAM, PIM, and web platforms, identifying outdated, duplicate, incomplete, inaccurate, or missing content and coordinating remediation.
• Improve DAM asset quality and governance through standardized metadata, tagging, classification, naming, lifecycle management, and asset retirement processes.
• Improve PIM data quality and completeness by identifying duplicate or inaccurate records, addressing product information gaps, and standardizing product attributes, descriptions, and supporting content.
• Review and optimize product content on the company website, ensuring published product information and editorial content are accurate, complete, current, and aligned with approved product messaging and source systems.
• Coordinate content creation, enrichment, review, approval, and publication with Product Management, Portfolio Marketing, Digital Customer Experience, regional teams, and subject matter experts.
• Establish and document scalable content governance and workflows connecting product lifecycle stages with DAM, PIM, and web publishing requirements.
• Leverage AI and automation tools to support content analysis, classification, metadata generation, product data enrichment, gap identification, and other content operations activities.
• Develop reporting and performance metrics to track content quality, audit progress, remediation, completeness, and ongoing operational health.
• Drive continuous improvement using the Company Operating System methodologies, establishing repeatable processes, clear ownership, accountability, and management cadence.

Qualifications

• Bachelor’s degree in Marketing, Business, Information Systems, Digital Commerce, or related field, or equivalent experience.
• 5–7 years of experience in product content operations, digital commerce, DAM, PIM, web content operations, or related disciplines.
• Hands-on experience working with DAM, PIM, and/or CMS platforms, including product data, digital assets, metadata, and content publishing.
• Experience leading complex, cross-functional content or data initiatives, including establishing processes, governance, and measurable quality improvements.
• Strong ability to analyze and improve large product datasets and content repositories, identifying gaps, inconsistencies, duplicates, and quality issues.
• Strong project management, analytical, organizational, and communication skills, with the ability to work independently across global teams.
• Proficiency with Microsoft 365, particularly Excel, PowerPoint, and Teams.

Required Skills

• Experience with product taxonomy, metadata standards, digital asset governance, and product data enrichment.
• Experience supporting web content operations, publishing workflows, and content lifecycle management.
• Experience using AI and automation tools for content classification, enrichment, quality assurance, or workflow automation.
• Experience with eCommerce, digital commercialization, product marketing, or digital experience teams.
• Experience in B2B technology, manufacturing, industrial, or digital infrastructure environments.