Digital Asset Manager
Responsibilities:
• Manage day-to-day asset activity within Orange Logic, including bulk uploads, metadata updates, asset relocation, and cleanup of large content libraries.
• Analyze reports, exports, and asset data to identify priorities, organize remediation efforts, and confirm accuracy after updates are completed.
• Bring legacy and backlog content into alignment with current metadata and library standards by creating consistent methods for each type of remediation work.
• Oversee high-volume asset intake and metadata imports, troubleshoot mapping issues, and resolve exceptions tied to vendor or system-delivered files.
• Turn repetitive manual tasks into scalable workflows by using templates, saved views, bulk tools, and platform-based automation features.
• Configure and refine automated processes in Orange Logic in collaboration with workflow and integration partners to support long-term operational efficiency.
• Evaluate AI-driven capabilities such as tagging, metadata generation, and content analysis at scale, documenting results and highlighting improvement opportunities.
• Restructure folders, collections, and taxonomy models to improve findability, support growth across regions, and maintain a logical library framework.
• Create clear documentation for operational procedures, metadata practices, and platform usage so that repeatable processes can be applied consistently across teams.
Qualifications:
• Proven experience working in digital asset management, with strong knowledge of asset libraries, metadata practices, and content organization.• Hands-on experience using DAM platforms such as Orange Logic to perform bulk asset operations and platform configuration.
• Ability to work with large data sets, reports, and exports to plan work, validate results, and manage content at scale.
• Solid understanding of metadata tagging, taxonomy structures, and digital image or media asset classification.
• Experience identifying manual process gaps and building practical automation or workflow improvements to reduce repeated effort.
• Comfort working in evolving environments where priorities may not be fully defined and operational standards are still being established.
• Familiarity with AI-enabled tools or platform features used for tagging, metadata generation, reporting, or content analysis.
Compensation
$55.00-$62.00 HourlyAbout Us
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