This paper comprehensively explores the challenges and opportunities in Information Technology management during the era of big data. It begins by delving into the definition, characteristics, and sources of big data, highlighting its paramount significance for enterprises and organizations. Addressing issues such as data security, privacy protection, processing capacity bottlenecks, and data quality and trustworthiness, effective strategies are proposed. Recommendations include establishing a robust data governance system, leveraging real-time computing, and employing efficient analytical tools, emphasizing reinforced data security measures and enhanced employee training. For tackling data quality and trustworthiness concerns, the paper underscores the importance of establishing a comprehensive data quality management system. Furthermore, a detailed examination of the application of big data in predictive analysis and decision support is provided, along with suggestions to foster a data-driven decision-making culture and enhance employee data analytics skills. In looking ahead, the paper encourages continuous attention to technological innovation, advocating adjustments in IT management strategies to align with the evolving demands of the big data era.