Scott Richardson

Scott Richardson

Job Title: Chief Data Officer

Company: Fannie Mae

Responsibilities:  Scott Richardson is Fannie Mae’s Chief Data Officer and Head of Corporate Technology, reporting to the Enterprise CIO.  Richardson leads all Enterprise Data functions for the firm including Governance & Operations, Enterprise Data Management (data architecture, metadata, modeling, data quality, data platforms, and business intelligence), and Data Delivery. He also leads technology for the firm’s corporate functions including Enterprise Risk Management, Compliance, HR, Finance, Procurement, Communications & Marketing, Legal, and others.  Mr. Richardson also serves as an executive champion for the firm’s Agile transformation and as a leader for enterprise innovation.

Experience:  Prior to joining Fannie Mae in November 2014, Richardson was Vice President of Retail and Direct Technology at Capital One, where he managed technology for retail consumer and small business banking with end-to-end responsibility for new deposit product development, lending infrastructure, and merchant technology.  Prior to joining Capital One, Richardson founded and led two IT consulting firms specializing in financial systems software and data development.  Before that, he was an IT consultant and manager with Price Waterhouse, performing and leading financial management system implementations in the United States and in more than 20 countries abroad.

Education:  Mr. Richardson has a bachelor of arts in economics from Bucknell University, a master of science in engineering management (systems engineering) from The George Washington University, and an Executive Master’s Certificate in banking from Louisiana State University.

Speaking at the following:

12.30pm - 1.15pm
Discussion Group 4C: Getting the building blocks right – Balancing Data Governance and Innovation

Assessing the integrity of your data – Understanding how to identify and address the most common causes of enterprise data quality problems and discussing strategies for data cleansing. Does the democratization of data defy governance? How to approach data governance in the new world of self-service analytics. Debating data ownership – how to ensure a… Read more.

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