Data scientists and machine learning specialists are often drawn to their roles due to the perceived allure of working with advanced technology, but many leave their positions because companies fail to meet fundamental expectations. Organizations mistakenly assume that hiring these specialists alone will automatically yield AI benefits, without ensuring the necessary infrastructure, data quality, and team cohesion are in place. Essential elements include having the right data in a usable format and a clear understanding of each role's capabilities to avoid unrealistic expectations. Companies need to integrate their data teams into the broader business strategy and foster a data-driven culture led by informed and supportive leaders. Misalignment between data teams and company goals, along with isolation from other departments, often leads to dissatisfaction and turnover. By addressing these issues and actively involving data teams in strategic decision-making, organizations can reduce turnover and achieve their desired outcomes.