The increasing adoption of digital technologies has transformed human resource management from an administrative function into a strategic organizational capability. Among these developments, People Analytics and Digital Workforce Intelligence have emerged as critical approaches that enable organizations to make evidence-based decisions regarding talent management, workforce planning, and organizational development. Within the Industry 5.0 era, organizations are encouraged to integrate advanced digital technologies while maintaining a human-centered perspective that promotes employee well-being, innovation, and sustainable growth. This study aims to explore how People Analytics and Digital Workforce Intelligence contribute to strengthening strategic talent development and organizational resilience. A qualitative descriptive approach was employed using semi-structured interviews, organizational documents, and recent scholarly literature. The collected data were analyzed through thematic analysis to identify major patterns regarding the implementation of data-driven human resource management practices. The findings reveal that People Analytics supports more objective workforce decisions, improves employee competency mapping, and facilitates personalized talent development strategies. Furthermore, Digital Workforce Intelligence enables organizations to respond more effectively to environmental uncertainty by improving workforce adaptability, organizational learning, and strategic resilience. This study highlights that the successful implementation of data-driven human resource management depends not only on technological capability but also on leadership commitment, employee digital literacy, and ethical data governance. The findings contribute to the growing literature on digital human resource management by providing a human-centered perspective on the strategic role of People Analytics within the Industry 5.0 framework.