The study highlights the priority and importance of digital tech- nology implementation as one of the key factors in the development of the in- dustry sector. In the context of the digitalization of the industrial sector, ap- proaches to managing the labor productivity of IT specialists are of partic- ular importance. In the field of personnel management, the focus is shifting from traditional methods used in HR analytics, which are limited to provi-ding operational reporting, to predictive analytics, capable of building strate- gic forecasts by analyzing large amounts of data, allowing enterprises to make management decisions in a timely manner. Determination of cause-and-effect relationships between metrics calculated for various categories of personnel positions helps to prevent the outflow of high-potential specialists. It is noted that the application of the digital profile of the employee is the main component for deep analysis of the factors influencing the labor productivity of the person- nel. It is emphasized that the use of artificial intelligence is the most promising innovative technology in HR analytics