Senior Knowledge Management Specialist - Library and Research Information Services

About the role

The Knowledge Management Specialist supports the design, implementation, and governance of enterprise knowledge systems that enable discovery, interoperability, and strategic use of organizational knowledge. This role develops metadata frameworks, taxonomies, ontologies, and knowledge management platforms that surface research, expertise, and capabilities across the organization.

Responsibilities

• Support the design and implementation of an enterprise knowledge management (KM) system, including frameworks, workflows, and governance models that enable cross-division visibility into research, expertise, and institutional capabilities.
• Evaluate, select, and configure KM platforms and tools (e.g., SharePoint, Confluence, enterprise search, knowledge graphs, AI-assisted retrieval systems) in partnership with IT and business units.
• Develop knowledge maps, capability directories, and expertise locators to surface institutional strengths and ongoing research across divisions.
• Promote knowledge-sharing practices by developing training, documentation, and change-management strategies that encourage adoption of KM tools and workflows.
• Design, implement, and maintain metadata schemas, controlled vocabularies, taxonomies, and ontologies to enhance discovery, interoperability, and long-term access.
• Serve as a Data Steward for library and knowledge-domain data, ensuring compliance with enterprise data governance standards, definitions, and quality expectations.
• Perform other duties as assigned.

Requirements

• Experience developing KM systems that manage explicit, implicit, and tacit knowledge.
• Experience implementing KM methodologies, including knowledge mapping, taxonomy design development, capture, and content lifecycle management.
• Experience designing, implementing, and maintaining metadata strategies, policies, and workflows.
• Experience with ontology, taxonomy, and semantic knowledge tools e.g., PoolParty, Semaphore RDF, SPARQL.
• Experience with data management tools e.g., Collibra.
• Familiarity with graph databases and knowledge graph platforms e.g., Neo4j.
• Familiarity with AI tools and concepts applied to content automation and knowledge discovery.
• Excellent written and verbal communication skills, with the ability to collaborate effectively with diverse stakeholders.
• Demonstrated initiative, adaptability, and the ability to work both independently and as part of a collaborative team.
• Strong commitment to staying current with emerging trends and best practices in knowledge management and data management.
• Strong project management skills, with a high level of initiative and attention to detail.

Qualifications

• Master’s degree in Library and Information Science (MLIS) or equivalent from an ALA accredited program.
• Minimum 6 years of experience in knowledge management, taxonomy, metadata, and content management post-MLIS degree.

Skills

• Experience with KM systems and methodologies.
• Knowledge of metadata, ontologies, and taxonomies.
• Proficiency with KM tools and platforms.
• Understanding of data management and graph databases.
• Experience with AI and content automation.

Benefits

UL Research Institutes offers comprehensive medical, dental, vision, and life insurance plans and a generous 401k matching structure of up to 5% of eligible pay. Additionally, employees receive an additional 4% into their retirement savings fund after their first year of continuous employment. Depending on the role, employees may discuss flexible working arrangements with their manager. Employees also enjoy paid time off, including vacation, holiday, sick, and volunteer days.

Pay

$81,456.37 - $112,002.51 per year