In the current business environment, dominated by automation, the analysis of large volumes of data, and instant decision-making, an essential figure in senior management emerges: the AI Ethics Officer. This new role not only symbolizes the integration of artificial intelligence into corporate strategy but also represents a profound shift in leadership in the digital age. Its main function is to ensure that AI is developed and used in accordance with ethical values and business objectives, positioned at the intersection of innovation, ethics, and competitiveness. Understanding this role is key to grasping how companies are adapting their future in an increasingly intelligent and challenging context. Idoia Salazar, a professor at CEU San Pablo University and director of the CEU San Pablo-Deloitte International Chair in Generative AI, emphasizes that "these profiles will become increasingly essential to ensure that systems act fairly, transparently, and responsibly, especially in sensitive sectors such as health, security, or finance." Salazar, an expert in AI ethics and regulation and president of OdiseIA, highlights that the advancement of regulations like the General Data Protection Regulation in Europe and other global legislations forces companies to have specialists capable of guiding compliance and adaptation to these legal and ethical frameworks. "Many companies already understand the importance of incorporating ethics from the beginning of AI product development to avoid reputational or legal risks," she adds. From the University of Deusto, which offers a specialized program in the ethics of digitalization and AI, they share this vision. Pedro M. Sasia, vice-dean and director of the Department of Social and Human Sciences, states that "there are increasing signs that these profiles will be fundamental." The recent creation of an AI Agency in La Coruña highlights the growing need for external oversight and control of these systems, similar to what occurs in the financial sector. Sasia points out that, although these profiles can be internal, the trend is towards the expansion of ethical consulting and auditing, especially in algorithm analysis, a sector that is rapidly growing. A clear example of the importance of ethical oversight is the use of AI in granting bank loans. Borja Sanz, a professor at the Faculty of Engineering at Deusto, warns that opaque and unsupervised systems can make arbitrary decisions, such as granting loans only to certain demographic profiles, which can lead to ethical, social, legal, and economic consequences. Similar situations are observed in human resources and talent selection departments. AI poses challenges in privacy, data management, and transparency. These systems require large amounts of information, increasing the risk of misuse of personal data. Therefore, it is essential to apply strict regulations and responsible practices to protect users. Transparency in the functioning of algorithms is crucial to detect errors, biases, and abuses, strengthening trust and ensuring ethical use of technology. Other challenges include algorithmic biases and intellectual property. Training data can perpetuate prejudices, leading to discriminatory decisions. Correcting these biases is vital for achieving fair systems. Additionally, AI's ability to create content raises questions about copyright and demands an updated legal framework. Professionals in AI ethics must have interdisciplinary training, technical knowledge in AI, an understanding of ethical and philosophical frameworks, the ability to identify and mitigate biases, and mastery of current regulations. "It is also essential that they can communicate complex concepts to non-specialized audiences and facilitate dialogue between multidisciplinary teams," explains Salazar. In Spain, there are already professionals in this role in sectors such as telecommunications, banking, health, and technology, although their presence is still limited. A significant increase is expected in the coming years, coinciding with the implementation of new regulations for high-risk algorithms. Specialized consulting firms like Eticas AI are already operating in this field, and large companies are increasingly incorporating AI ethics experts. The academic sector is also driving training and research in this area, preparing professionals to meet growing demand. Adapting regulatory frameworks to business reality will require experts with specific competencies, both in the private sector and in public administration. Regarding compensation, Salazar indicates that it varies by industry, experience, company size, and location. Starting salaries for those entering AI ethics, with solid training but little experience, range from 30,000 to 40,000 euros annually, increasing significantly with experience.