Job Title: Digital Asset Specialist
* A metadata and taxonomy expert with experience managing large-scale digital asset libraries.
Key Responsibilities:
* Good understanding of metadata models, taxonomy structures, and controlled vocabularies.
* Experience organizing and managing large volumes of assets in enterprise DAM platforms.
* Skilled in creating and applying consistent folder structures, naming conventions, and tagging standards.
* Strong quality assurance mindset with experience providing human-in-the-loop support alongside AI tagging tools.
* Comfortable working across teams to implement governance policies and metadata best practices.
* Ability to train and onboard marketers and content owners on how to use and maintain structured DAM systems.
* Familiarity with usage rights, compliance workflows, and content lifecycle management.
* Strategic mindset to help embed librarian practices into decentralized teams and scale metadata ownership over time.
Qualifications:
* Bachelor's degree in project management, communications, computational linguistics, or 3 years of experience in similar line of work.
* 3+ years program or project management experience.
* Experience and understanding the concept of training data creation for AI prompt development.
* 3+ years of experience in managing an extensive digital asset library.
* Excellent communication, presentation, and interpersonal skills.
* Ability to teach/train content governance and DAM operational policies to teams that have different levels of understanding of the subject matter.
* Strong problem-solving skills and a service mindset.
Preferred qualifications:
* Strategic Thinking.
* Stakeholder Relationship Management.
* Involved in development or implementation of change management.
At our organization, we are looking for a highly skilled professional to manage and organize our digital asset library. As a Digital Asset Specialist, you will be responsible for implementing effective governance policies, managing large volumes of assets, and ensuring seamless collaboration among teams.
The ideal candidate will possess strong organizational skills, attention to detail, and excellent communication skills. Experience with enterprise DAM platforms, metadata models, and taxonomy structures is essential. Additionally, the ability to train and onboard team members on using and maintaining structured DAM systems is crucial.
We offer competitive compensation and benefits package, opportunities for professional growth and development, and a collaborative work environment. If you are passionate about metadata management, AI tagging systems, and scalable digital asset libraries, we encourage you to apply for this exciting opportunity.