Strategic Human Resource Leadership in Global Biopharmaceutical Enterprises: Integrating HR Analytics and Cross-Cultural

In the global pharmaceutical industry, human resource strategy not only fulfills compliance and risk control functions but also directly impacts talent retention, organizational efficiency, and innovation capabilities. Drawing on the U.S. practices of a multinational biopharmaceutical enterprise, this study examines the key mechanisms of human resource strategy implementation across borders by integrating HR analytics with Hofstede's cross-cultural model. Research methods included a modular HR analytics pipeline built with Python, integrating structural equation modeling (SEM), machine learning classifiers, a Transformer-based cultural encoder, and a job-person matching engine powered by a neural network and Hungarian algorithm. Workflow orchestration was achieved using Apache Airflow, and deployment was managed via Docker with GPU acceleration. Results indicate that leadership models and career development maps significantly enhance employee engagement (β=0.62, p<0.01), reducing overall turnover by 8% within one year. Differentiated compensation structures and flexible benefit policies significantly enhanced employee satisfaction (β=0.55, p<0.01) while strengthening employer brand competitiveness. This study not only validates the effectiveness of localizing multinational corporations' HR strategies but also provides empirical evidence and a methodological framework for cross-cultural HR governance.