Enterprise data governance is not intuitively obvious because of overlapping responsibilities and business processes between multiple stakeholder groups in large organizations. In government agencies, the challenges to comprehensive data governance are often compounded by legislative, regulatory, policy, budgetary, and contractual requirements and constraints. This presentation will offer a full-enterprise perspective on data governance across a DMBK 2.0-compliant data asset lifecycle ranging from initial Investment Management to Data Retirement. Our goal is to share an integrated view of holistic governance, recommended best practices, and a rational division of responsibilities at each stage in the data lifecycle.

Learning objectives include:

• Learn data lifecycle definition
• Best practices for data governance within federal environments
• Stakeholder roles required to implement the data governance best practices.

Speaker: Chris Zettler

Data Practice Lead, Citizant, Inc.

Chris Zettler is Citizant Data Practice Lead. As a 30-year veteran of enterprise data and IT management projects with companies like Accenture, Octo Consulting, and General Dynamics, he has extensive experience with federal financial and immigration data initiatives. Recent experiences include leading data standardization and data pipeline development for the DHS Office of Immigration Statistics (OIS) Immigration Data Integration Initiative (IDII), development of the enterprise data governance plan and data management platform target-architecture for the Department of Education CDO, and formation of the enterprise data governance plan for the FDIC CDO.