BigID promotes Peggy Tsai as Chief Data Officer

BigID, a leader in data intelligence that enables enterprise organizations to know their data for privacy, protection, and governance,  promoted Peggy Tsai as their inaugural Chief Data Officer. Peggy brings over 18 years of experience in data management, stewardship, and governance from the financial services industry. She was previously the Vice President of Data Solutions, focused on the data governance pillar of applications and capabilities.

She has first-hand knowledge of regulatory compliance programs such as BCBS 239, Solvency II, and the General Data Protection Regulation. She also has extensive experience designing and implementing enterprise data management programs in the financial services and insurance industries. Peggy is also involved in the data community, mentoring, speaking at graduate student clubs, and organizing events through Women Leaders in Data and AI.

Peggy will be leading BigID's data governance and analytics product and strategy initiatives. Before joining BigID, she was Vice President of Data and Analytics at Morgan Stanley, where she managed the data governance program across the Wealth Management division. Her previous work involved supporting and collaborating with data science teams on analytical data governance and enterprise data management. She also implemented enterprise data management practices at AIG to support anti-money laundering, solvency II, and GDPR in the Latin American region and the commercial line of business.

According to Peggy, "I am pleased to be appointed to the role of Chief Data Officer. I am excited to lead our market thought leadership as well as build out our internal data governance practices and programs. BigID's AI/ML-led discovery platform competitively enables organizations to understand their enterprise data and take action for privacy, security, and governance use cases. We have an exciting opportunity to reimagine how data governance can be operationalized by focusing on insights and inferences on data. By taking a bottoms-up approach to data management, data organizations can begin to automate their data pipelines, monitor their data quality, and govern their data at a larger scale."

Peggy has a Master of Information Systems degree from New York University and a Bachelor of Arts degree in Economics from Cornell University. She has co-authored "The AI Book" and is an adjunct faculty member at Carnegie Mellon University's Chief Data Officer program.