Awareness of industry trends and standards (knowledge graphs, semantic technologies, graph databases) and advise on relevant applications
Demonstrated experience building and working with metadata, taxonomy, or ontologies in support of AI-enabled experiences in an enterprise environment including scoping, design, validation, and launch
3+ years of experience in a metadata-related field (taxonomy, ontology, semantics, computational linguistics), including creating, implementing, and governing taxonomies
Strong facilitation and decision-making skills to prevent analysis paralysis and over-engineering
Experience working directly with business SMEs to reconcile competing mental models into a single controlled vocabulary
Excellent written and verbal communication skills, with the ability to influence and coach stakeholders on metadata standardization value and design
Strong interpersonal skills and ability to navigate organizational networks and drive alignment across teams
Hands-on experience implementing taxonomies or standardizing metadata in a CMS and/or enterprise search platform (not purely academic or archival work)
Ability to operate independently in a greenfield environment and drive work to tangible, production-ready outcomes
Bachelor's degree in information science, library science, semantics/ontology, or a related field (or equivalent practical experience)