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Product Content Operations Specialist; PIM​/DAM

Job in Columbus, Franklin County, Ohio, 43224, USA
Listing for: Portfolio Creative
Full Time position
Listed on 2026-11-05
Job specializations:
  • IT/Tech
    Information & Knowledge Management, Digital Marketing, Data Analyst, AI Business & Operations
Salary/Wage Range or Industry Benchmark: 31 USD Hourly USD 31.00 HOUR
Job Description & How to Apply Below
Position: Product Content Operations Specialist (PIM/DAM)

Job #8787 | Columbus, OH - Onsite | 6-Month W2 Contract, Full-Time (40 Hours/Week) | Benefits Eligible | Up to $31/hr

ABOUT

THE ROLE

The Product Content Operations Analyst will play a key role in improving the quality, accuracy, and consistency of product information across Digital Asset Management (DAM), Product Information Management (PIM), and web platforms.

This hands-on role combines content auditing, data optimization, and process improvement to ensure product information is organized, reliable, and ready for use across digital channels.

Working with Marketing, Product Management, Digital Experience, and global teams, this individual will help establish scalable workflows, strengthen content governance, and leverage AI and automation to improve efficiency. This is a full-time, onsite contract opportunity supporting a special project focused on improving product content operations.

ABOUT OUR CLIENT

Our client is a global organization operating in the technology and industrial sectors, supporting a broad portfolio of products and solutions. Its marketing and digital teams collaborate across departments and regions to manage product information and deliver consistent digital experiences. The organization is focused on improving content quality, operational efficiency, and the systems and processes that support accurate product information across multiple platforms.

DAILY

RESPONSIBILITIES
  • Audit product content across DAM, PIM, and web platforms to identify and resolve missing, outdated, duplicate, incomplete, or inaccurate information
  • Improve digital asset governance by standardizing metadata, tagging, classification, naming conventions, asset lifecycle management, and retirement processes
  • Enhance PIM data quality by correcting inconsistencies, eliminating duplicate records, and standardizing product attributes, descriptions, and supporting content
  • Review and optimize published website content to ensure product information is accurate, current, complete, and aligned with approved messaging and source systems
  • Coordinate content creation, enrichment, review, approval, and publication with Product Management, Marketing, Digital Experience, regional teams, and subject matter experts
  • Develop and document scalable content governance standards and workflows connecting product lifecycle stages with DAM, PIM, and web publishing processes
  • Use AI and automation tools to support content analysis, classification, metadata generation, product data enrichment, quality assurance, and gap identification
  • Build reporting and performance metrics to monitor content quality, audit progress, remediation efforts, data completeness, and ongoing operational performance
  • Drive continuous process improvement by establishing repeatable workflows, clear ownership, accountability, and consistent performance monitoring
REQUIREMENTS AND QUALIFICATIONS
  • 5-7 years of experience in product content operations, digital commerce, DAM, PIM, web content operations, or related disciplines
  • Bachelor's degree in Marketing, Business, Information Systems, Digital Commerce, or a related field, or equivalent professional experience
  • Hands-on experience with DAM, PIM, and/or Content Management System (CMS) platforms, including product data, digital assets, metadata, and content publishing
  • Strong understanding of product taxonomy, metadata standards, digital asset governance, product data enrichment, and content lifecycle management
  • Experience leading complex, cross-functional content or data initiatives, including establishing governance processes and driving measurable quality improvements
  • Strong analytical skills with the ability to audit and improve large product datasets and content repositories, identifying inconsistencies, duplicates, missing…
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