The Rise of The Tech-Business Translator in The Age Of AI

Contemporary digital transformation initiatives have intensified the demand for professionals capable of effectively connecting technological capabilities with strategic business objectives, individuals commonly recognized as tech-business translators. While their organizational significance continues to expand, the specific competencies necessary for success in these interdisciplinary positions remain inadequately conceptualized and lack systematic examination. This research addresses that gap by introducing the first integrated skills taxonomy that bridges existing disconnects across academic research, employment market intelligence, and industry practice. Drawing on an analysis of over 50 job advertisements, recent scholarly literature, and leading industry reports, we identify six primary competency areas, ranging from strategic reasoning and interpersonal communication to artificial intelligence proficiency and quantitative analysis. The proposed framework offers clear parameters to guide recruitment, learning and development (L&D) programs, and curriculum design. By articulating the essential competencies for these multidisciplinary professionals, this study lays foundational groundwork for future empirical research and supports talent development in digitally transformed organizational environments.