Governance frameworks are only as valuable as their execution. In this 1:1 interview, a chief data officer will share how their organization translated governance theory into measurable business outcomes. Discover the strategies, tools, and leadership approaches that made the difference. 

About the Speakers

Peter Aiken

Professor of Information Systems, VCU and Founder, Anything Awesome

Peter Aiken, Ph.D. is an acknowledged Data Management authority, an associate professor at Virginia Commonwealth University, president of DAMA International, and associate director of the MIT International Society of Chief Data Officers. For more than 40 years, Peter has learned from working with hundreds of Data Management practices in more than 30 countries. Among his 13 books are the first on making the case for data leadership (CDOs), the first focusing on data monetization and modern strategic data thinking, and the first to objectively specify what it means to be data-literate. International recognition has resulted from these and a (pre-Covid-19) intensive worldwide events schedule. Peter also hosts the longest-running Data Management webinar series on dataversity.net. Before Google, before data was big, and before Data Science, Peter founded several organizations that have helped more than 200 businesses leverage data – specific savings have been measured at more than $1.5 billion. His latest venture is Anything Awesome.

Linda F. Powell

Principal, Green Fee Consulting, LLC

Linda F. Powell has over 30 years of experience in the finance industry including commercial banking, banking supervision, and economic research. She spent most of her career with the Federal Reserve System covering regulatory reporting, bank examination, and economic research in addition to data management. She was the Chief Data Officer at the Treasury Department’s Office of Financial Research and the Consumer Financial Protection Bureau. In 2018 she joined Citibank as the Global Head of Data Governance & Data Reporting and in 2021 she joined BNY as the Deputy Chief Data Officer. Her experience covers data operations, data governance, data platform design and implementation, data architecture, and analytics / data science. Linda’s data management initiatives were instrumental during the 2008/2009 financial crisis and she led the interagency initiative for the Legal Entity Identifier (LEI/GLEIF). She has published several papers on the topics of data standards, metadata, and data strategy. She has a B.A. in Economics from Rutgers University and an M.S. in Quantitative Finance from George Washington University.