Objective: The objective of this study is to develop a comprehensive talent management model tailored to the unique needs and cultural context of the employees at Astan Quds Razavi. Methodology: A mixed-methods approach was employed, integrating qualitative and quantitative methodologies. The qualitative phase involved thematic analysis using Clarke's method, facilitated by MAXQDA software, and included interviews with 15 purposively selected experts from Astan Quds Razavi. The quantitative phase targeted 21,000 employees, with a sample size of 147 determined using G*Power software. Data were collected through surveys and analyzed using path analysis and variance-based structural equation modeling with SPSS and Smart PLS 3. Findings: The study identified six key predictors for effective talent management: talent evaluation, talent engagement, talent identification, talent culture, professional development of talent, and the attraction and retention of top talent. Additionally, 30 specific indicators were identified that contribute to these predictors. Conclusion: The proposed talent management model provides a robust and context-specific framework for managing talent within Astan Quds Razavi. The model addresses the unique needs of the organization and aligns with its cultural context, offering a valuable tool for improving organizational performance and employee satisfaction. This model has the potential to be adapted for use in similar organizations and contributes to the broader understanding of effective talent management strategies.