Sep 23–26, 2019
Jennifer Yang

Jennifer Yang
Head of Data Management & Data Governance, Wells Fargo ECS

Jennifer Yang is the Head of Data Management and Data Governance at Wells Fargo Enterprise Core Services. Prior to this role, Jennifer served various senior leadership roles in Risk Management and Capital Management areas in major financial institutions. Jennifer has a unique experience that allows her to understand data and technology from both the end users and data management’s perspectives. Jennifer is passionate about leveraging the power of new technologies in gaining insights from the data to develop cost effective and scalable business solutions. Jennifer holds an undergraduate degree in Applied Chemistry from Beijing University, a master degree in Computer Science from State University of New York at Stony Brook, and an MBA degree from New York University Stern School of Business specializing in Finance and Accounting.


9:05am9:30am Tuesday, September 24, 2019
Location: 1A 08
Jennifer Yang (Wells Fargo ECS)
Traditional rule based data quality management methodology is costly and hard to scale in the big data environment. It requires subject matter experts within business, data and technology domains. Machine learning technique based data quality management methodology enables a cost-effective and scalable way to manage data quality for a large amount of data. Read more.

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