Increasingly, many companies are now creating Chief Digital Officer (CDO) positions to support their digital transformation. As a relatively new position, the responsibilities involved cover various aspects of the company’s operations, the most significant of which is culture change. The CDO is expected to develop and implement a digital strategy to be integrated into a digital ecosystem. The CDO must be able to identify new technologies such as artificial intelligence, and the Internet of Things that are relevant to the company’s operations and will lead to improving existing solutions. Considering the importance of this position, this paper proposes a CDO selection model. A distinctive feature of the model is the ability to integrate various objective and subjective characteristics of the candidates for this position. Thus, the proposed group decision-making model could aggregate experts’ assessments according to their points of view about the importance of the characteristics of candidates. The numerical application of the proposed model is based on six technical skills and seven soft skills forming the general performance of the candidates, evaluated by a group of three experts. The results show that by aggregating properly different experts’ opinions it is possible to determine the most suited candidate for the CDO position.