Research Assistant in the area of Digital Transformation/Data-Driven Organizations

IESE Business School IESE Business School is committed to the development of leaders who aim to have a deep, positive and lasting impact on people, firms and society through professional excellence, integrity and spirit of service. IESE attracts and develops talented professionals to run its diverse programs. IESE’s people live the school’s mission on a day-to-day basis, maintaining the institution as one of the top business schools in the world. IESE focuses on principles in the workplace that help cultivate an atmosphere of professionalism, integrity, service and respect and believes that organizations are communities of people. Data-Driven Organizations – This project focuses on building data-driven organizations, in the context where data becomes one of the main assets of the organization and Artificial Intelligence (AI) the new general-purpose technology transforming industries and organizations. A key part of this work is the maintenance and updating of the Data-Driven Index database, which benchmarks organizations’ progress toward becoming truly data-driven. \"Digital Mindset and Digital Density\" -Success of digital transformation depends on the organization's leadership. Yet, our understanding of the critical leadership competencies and management structures requires for success in the high digital density world remains scant. The purpose of this study, therefore, will be shed ligh on this issue. Digital Transformation of Sectors – Analyze how different industries are transitioning from traditional linear value chains to new ecosystems (value networks) comprised of both incumbents and insurgents seeking to leverage affordances of Digital Density. Over the next academic year, we plan to continue investigation of this process across different industries to publish new research papers and teaching cases. PHYGITAL – Exploring the AI–Physical Nexus – In addition, this research will connect to the development of PHYGITAL, a new MBA elective on the convergence of AI, digital technologies, and the physical world. The course examines how infrastructures, AI models, and applications like robotics, digital twins, and simulations reshape organizations and industries, and addresses ethical, regulatory, and future-of-work challenges. The RA will support research and teaching materials for this course, literature reviews, and content development. Conduct literature review/analysis Facilitate scheduling/conducting interviews and case study visits Transcribe interviews Assist in content analysis of interview data Assist in graphical representation of data Participate in editing/proofreading paper drafts. BS / BA degree orMaster’s degree in Engineering, Economics, Sociology or Business . Last degree must have been obtained less than 5 years ago. Prior experience in conducting and publishing academic research is a plus. Ability to prepare and conduct interviews Ability to write summaries of interviews and meetings; experience of conducting content analysis of using tools like, Atlas.ti, is a plus Ability to extract and synthesize information from different sources, both lay press and management journals Excellent writing skills to produce non-technical documents that can be published with minimal editing General understanding of business context and digital technologies Excellent spoken and written English (or native speaker) Demonstrated ability to work independently Conditions January 2026 End date 1 year with the possibility of extending CONTACT Interested parties please send CV, academic transcript and a cover letter in English to: #J-18808-Ljbffr