Peggy tsAI

Peggy Tsai is the Chief Data Officer at BigID, where she oversees business product strategy for data governance and plays a strong role in business development, creating and nurturing client leads.

Peggy is an expert in AI governance and management and has spoken for a wide variety of top conferences and educational institutions, including:

• Gartner Data & Analytics
• MIT CDOIQ Symposium
• BigData London
• FIMA Boston
• AI REWORK
• EDM Council's Global Data Summit
• AI Public Forum
• Data 2030 Summit
• Grammarly Generative AI
• Deepfest by LEAP
• EDM Council Women Leader’s Summit
• Singapore Management University
• University of Arkansas at Little Rock
• Carnegie Mellon University

In addition, Peggy is a contributing author of The AI Book: The Artificial Intelligence Handbook for Investors, Entrepreneurs, and FinTech Visionaries, and has been featured for her thought leadership in:

• Business of Data by Corinium
• Crunchbase
• CDO Magazine
• EW Solutions
• Data Ethics 4 All
• New York Business Journal

For nearly twenty years, Peggy has held various C-Suite positions in data governance for leading companies such as Morgan Stanley, AIG, and S&P Global Ratings.

Before her current position, Ms. Tsai was Vice President of Analytics and Data with Morgan Stanley Wealth Management. In this role, Peggy developed policies and data strategies to help operationalize Morgan Stanley’s wealth management data governance program.

Peggy strongly believes in giving back and advocates for women in data and technology. She participates in several professional capacities, including:

· Executive coach at Carnegie Mellon’s Heinz College Chief Data Officer program.
· Co-host of The Data Transformers podcast, which reached the Top 250 Global Technology podcasts on Spotify.
· Executive member of Women in Data
· Global Co-Chair of Events for EDM Council’s Women Data Professionals Forum
· Founding member of WLDA, Women Leader Data, and AI

Peggy holds a Bachelor of Arts from Cornell University and a Master's of Science from New York University.

Specialties: Digital Transformation, Financial Services, IT Strategy, Enterprise Architecture, Consulting, Business Intelligence, Data Governance, Data Management, Customer & Operations, Startup Scaling, AI/ML, Product Management, Privacy Compliance, Diversity & Inclusion, STEM, Leadership