Human resource (HR) management is critical to organizational effectiveness but faces persistent challenges in representing, integrating, and analyzing workforce-related knowledge. This paper explores the potential of Wikidata, a large-scale, multilingual, collaboratively maintained knowledge graph (KG), as a global infrastructure for HR knowledge management. We examine how Wikidata’s flexible data model supports key HR dimensions, including employment history, skills, education, projects, achievements, and publications. Its support for external identifiers enables seamless integration with platforms such as GitHub, LinkedIn, and the European Skills, Competences, Qualifications, and Occupations (ESCO) framework. We demonstrate how HR-related insights can be extracted via SPARQL queries and visualized using built-in tools. Furthermore, advanced techniques such as GraphRAG, graph-based exploratory data analysis (EDA), and KG embeddings enable innovative ways of consuming HR knowledge. Our findings highlight Wikidata’s value as a foundation for intelligent HR knowledge management, with promising applications in semantic search and organizational analytics. © 2025 Copyright for this paper by its authors.