Session: Transformation & Cultural Divide or Women & Career Planning
Learnings from driving enterprise transformation through technology. The opportunities, challenges, and pitfalls.
Bio
Jane Connell is a Champion of Innovation, Technology Transformation and Process Simplicity, with a distinguished career spanning 35 years and three highly regulated industries: healthcare, financial, and telecommunications. Her career is defined by one powerful principle: the customer at the center of every decision. With a sharp focus on simplification and end-to-end accountability, she has transformed complex global operations into seamless, customer-driven ecosystems. Jane’s leadership blends operational discipline with strategic foresight, driving results that strengthen customer trust, improve organizational efficiency, and create tangible financial impact that has delivered returns exceeding $1B, EBITA improvements 2%-3% and improved cash flows by over $2B. Her career has spanned roles in Supply Chain, Sourcing, Mergers/Acquisitions/Divestiture with a dominance in Technology. She has built and led captive centers, multiple shared services organizations and led strategic governance committees for the company CEOs and respective Boards. Her impact has fueled business performance across enterprises ranging in size from $13B to $135B in revenues.
Moderator:
Ewa J. Kleczyk, PhD operates at the intersection of analytics, AI, and healthcare innovation, transforming fragmented clinical and real-world data into decision-ready intelligence that accelerates discovery and improves outcomes. She leads complex healthcare data ecosystems—including EMR/EHR, claims, imaging, laboratory, and clinico-genomic data—enabling multimodal analytics and scalable, privacy-first architectures. A healthcare privacy expert, she provides executive oversight for governance frameworks, data tokenization, and responsible AI implementation. Ewa also advises technology companies and academic institutions, contributes to global thought leadership, and advances ethical human–AI collaboration through editorial leadership, graduate faculty appointments, and international keynote speaking.