With the accelerating digital transformation of the banking sector and the active implementation of artificial intelligence technologies, the requirements for the professional training of specialists responsible for the design and support of business processes are changing significantly. Banking methodologists increasingly act not only as developers of regulations but also as participants in digital transformations, integrating data, IT solutions, and customer experience into a unified process architecture. The relevance of this study stems from the need for scientifically grounded design of corporate training programs that ensure the development of integrative digital competences in the face of technological uncertainty and the increasing complexity of management decisions. The aim of this article is to develop and theoretically substantiate a comprehensive competency development program for banking methodologists, focused on fostering process-based, analytical, and AI-oriented professional thinking. The leading approaches used were competency-based, system-activity-based, and andragogic, as well as the principles of digital transformation pedagogy, which views learning as a tool for organizational strategic development. The methodological basis of the study was an analysis of scientific literature on the digitalization of professional education, modeling of educational systems, and the design of a tiered competency matrix. The article presents the structure of a modular program, including the domains of process thinking, data management, understanding IT architecture, customer-centricity, and AI competences. A tiered matrix (basic, advanced, expert levels) has been developed to assess the dynamics of professional growth, and a certification assessment tool has been proposed that integrates educational outcomes into the corporate HR management system. It is shown that the transition from the operational to the architectural level of activity is associated with the development of the ability to initiate digital transformations and justify decisions based on analytics and artificial intelligence models. The theoretical significance of this study lies in clarifying the concept of integrative digital competency for methodologists in the banking environment and developing a model for its step-by-step development. Its practical significance lies in the potential application of the proposed program in corporate training systems, in building a talent pool, and in developing certification procedures for specialists in the context of digital transformation.