Nicole Dillon Goldberg, PhD, is a scholar-practitioner whose work focuses on leadership, organizational change, and the adoption of artificial intelligence in the workplace. Her research explores how leaders shape culture, trust, and capability during technology-driven transformation, and she brings experience from senior corporate roles into her teaching and applied research practice.
Nicole Dillon Goldberg, PhD, brings over two decades of senior leadership experience in the technology sector, including executive roles at Apple and Avaya. At Apple, she led large-scale service, operations, and transformation initiatives, partnering across global teams to strengthen customer experience, build organizational capability, and enable operational excellence during periods of growth and change. Earlier in her career at Avaya, she worked in complex, enterprise-focused environments that deepened her expertise in service organizations, global operations, and technology-enabled change. Across these roles, Nicole developed a practical understanding of how leadership behavior, culture, and structure shape performance and the success of transformation efforts.
Nicole Dillon Goldberg, PhD, teaches undergraduate and MBA courses in leadership, organizational behavior, and technology-enabled transformation, with a particular emphasis on the responsible adoption of artificial intelligence in the workplace. Her teaching reflects a scholar-practitioner approach that integrates academic research with insights from her leadership experience at Apple and Avaya.
Nicole designs learning experiences that help students bridge theory and practice through applied case work, reflection, and real-world organizational problem-solving. In both undergraduate and graduate classrooms, she emphasizes ethical awareness, critical thinking, and the development of leadership mindsets and capabilities needed to navigate AI-driven change in modern organizations.
Nicole’s research examines the intersection of leadership, organizational change, and AI adoption, with particular focus on how leaders and organizations respond to uncertainty during technology-driven transformation. Her work explores concepts such as threat rigidity, psychological safety, and capability building, and how these dynamics determine whether AI initiatives become symbolic and performative or translate into meaningful organizational impact. She is committed to advancing research that bridges academic insight and managerial practice, supporting leaders in building trust-based, adaptive, and learning-oriented environments during periods of technological change.
ndgoldberg@mac.com CV available upon request
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