JoAnn Stonier

Fellow of Data and AI, Mastercard

JoAnn Stonier is a globally recognised data expert and strategist with extensive experience in shaping and leading data strategy and management programs. Her work focuses on enabling data-driven innovation while effectively managing the complex risks that come with data use in today’s rapidly evolving landscape. With deep expertise across data governance, analytics, data quality, system development, and deployment, JoAnn brings a comprehensive and thoughtful approach to the entire data ecosystem.

She is widely regarded as a leader in data ethics and responsible data practices, particularly in the context of machine learning and artificial intelligence. Her knowledge of data anonymization techniques and advanced analytics further strengthens her ability to create innovative, yet ethical, data solutions.

JoAnn has also served as a Chief Privacy Officer, where she built and led a highly effective privacy program. Her legal and regulatory expertise spans global privacy and data protection laws, including GDPR, CCPA, GLBA, and FCRA, among others—giving her a nuanced understanding of how legal frameworks intersect with business data strategies. Her work spans multiple industries, including financial services, technology, and publishing.

In addition to her executive roles, JoAnn has broad experience in operational and financial management. She has overseen accounting, auditing, and financial analysis functions, and has played a hands-on role in mergers and acquisitions, including due diligence and post-acquisition integration, all while driving operational excellence.

JoAnn also brings her expertise into the classroom as an adjunct professor at both the undergraduate and graduate levels. She teaches a range of courses, including Business Strategy, International Business, Intellectual Property Law, Privacy & Cyber Law, and core accounting and auditing topics.

Her work consistently bridges the worlds of data, law, business, and education, making her a sought-after voice in conversations around data innovation and ethics.

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