Loading, Please wait..!!
Product Content Operations Analyst
-
Posted on: Nov 04, 2026
-
Westerville, Ohio
-
Onsite
-
Full-time
Curious about compensation?
Explore the historical salary trends, average pay, and estimated compensation for Product Content Operations Analyst roles in Ohio.
View Salary Guide →
Over 12 millions jobs on Snaprecruit.
Find your match !
VIEW SIMILAR JOBS →
Find your match !
Job Title :
Product Content Operations Analyst
Job Type :
Full-Time
Job Location :
Westerville Ohio United States
Remote :
No
Job Description :
Job Description
Job Description
We are looking for a Product Content Operations Analyst to support and strengthen product content quality across digital and internal platforms in Westerville, Ohio. This Long-term Contract position focuses on improving the accuracy, consistency, and completeness of product information while partnering with cross-functional teams to maintain reliable content operations. The ideal candidate will combine analytical thinking, process discipline, and collaboration skills to help create scalable governance practices and measurable content standards.
Responsibilities:
• Conduct detailed reviews of product content across internal systems and web channels to uncover outdated, duplicated, incomplete, or incorrect information and help drive corrective action.
• Strengthen asset governance by organizing metadata standards, tagging structures, naming conventions, classification methods, and lifecycle controls for content management.
• Evaluate product data for quality and completeness, resolve inconsistencies, and improve the standardization of attributes, descriptions, and related supporting materials.
• Monitor published website content to confirm that product and editorial information remains accurate, current, and aligned with approved messaging and source data.
• Partner with product, marketing, digital experience, regional stakeholders, and subject matter experts to coordinate content development, review, approvals, and release activities.
• Build and document repeatable workflows that connect product lifecycle milestones with content requirements and publishing processes across platforms.
• Apply AI-enabled and automated solutions to assist with content analysis, metadata generation, classification, enrichment, and identification of information gaps.
• Create dashboards, reports, and performance measures that track audit results, remediation progress, content completeness, and overall operational effectiveness.
• Promote continuous improvement by establishing clear ownership, accountability, and structured management routines that support scalable content operations.
• Support operational process updates and platform-related content changes as needed within established governance frameworks.• Experience in content operations, business analysis, digital content management, product data management, or a related function.
• Strong background in auditing, reviewing, and improving data or content quality within digital or e-commerce environments.
• Ability to develop reporting, KPI tracking, and progress measurement to support operational visibility and decision-making.
• Familiarity with metadata, taxonomy, tagging, classification, and governance practices for structured content or digital assets.
• Proven ability to work cross-functionally with product management, marketing, operations, and other business stakeholders.
• Exposure to AI or automation tools used for content analysis, enrichment, quality improvement, or workflow support.
• Strong attention to detail with the ability to identify inaccuracies, gaps, and duplicate records and drive remediation efforts.
• Excellent written communication and organizational skills, with the ability to document processes and support scalable continuous improvement initiatives.
Responsibilities:
• Conduct detailed reviews of product content across internal systems and web channels to uncover outdated, duplicated, incomplete, or incorrect information and help drive corrective action.
• Strengthen asset governance by organizing metadata standards, tagging structures, naming conventions, classification methods, and lifecycle controls for content management.
• Evaluate product data for quality and completeness, resolve inconsistencies, and improve the standardization of attributes, descriptions, and related supporting materials.
• Monitor published website content to confirm that product and editorial information remains accurate, current, and aligned with approved messaging and source data.
• Partner with product, marketing, digital experience, regional stakeholders, and subject matter experts to coordinate content development, review, approvals, and release activities.
• Build and document repeatable workflows that connect product lifecycle milestones with content requirements and publishing processes across platforms.
• Apply AI-enabled and automated solutions to assist with content analysis, metadata generation, classification, enrichment, and identification of information gaps.
• Create dashboards, reports, and performance measures that track audit results, remediation progress, content completeness, and overall operational effectiveness.
• Promote continuous improvement by establishing clear ownership, accountability, and structured management routines that support scalable content operations.
• Support operational process updates and platform-related content changes as needed within established governance frameworks.• Experience in content operations, business analysis, digital content management, product data management, or a related function.
• Strong background in auditing, reviewing, and improving data or content quality within digital or e-commerce environments.
• Ability to develop reporting, KPI tracking, and progress measurement to support operational visibility and decision-making.
• Familiarity with metadata, taxonomy, tagging, classification, and governance practices for structured content or digital assets.
• Proven ability to work cross-functionally with product management, marketing, operations, and other business stakeholders.
• Exposure to AI or automation tools used for content analysis, enrichment, quality improvement, or workflow support.
• Strong attention to detail with the ability to identify inaccuracies, gaps, and duplicate records and drive remediation efforts.
• Excellent written communication and organizational skills, with the ability to document processes and support scalable continuous improvement initiatives.
Position Details
Posted:
Nov 04, 2026
Reference Number:
2727d124
Employment:
Full-time
City:
Westerville
Job Origin:
ziprecruiter
Share this job:
Please wait..!!

