About the Role:
This position involves managing large-scale digital asset libraries, requiring strong organizational skills and attention to detail. The ideal candidate will have experience in metadata management, taxonomy expertise, and familiarity with enterprise DAM platforms.
Main Responsibilities:
* Developing and implementing metadata models and taxonomy structures
* Maintaining consistency in folder structures, naming conventions, and tagging standards
* Providing high-quality assurance and human-in-the-loop support for AI tagging tools
* Fostering collaboration across teams to implement governance policies and metadata best practices
* Training and onboarding stakeholders on structured DAM systems
* Evaluating usage rights, compliance workflows, and content lifecycle management
Key Qualifications:
* Bachelor's degree in a relevant field or equivalent experience
* Program or project management experience with a focus on training data creation for AI prompt development
* Digital asset library management experience with emphasis on communication and interpersonal skills
* Strong problem-solving abilities and a service-oriented mindset
Ambitious Professionals Sought:
* Strategic thinkers with stakeholder relationship management skills
* Change management implementation and development experience
Your Background:
We welcome applicants with experience in similar roles, particularly those with expertise in metadata, taxonomy, and digital asset management.