Randall Gordon
Head of Data Governance, Cross River
- Role
- Head of Data Governance at Cross River
- Location
- Brooklyn, NY, US
- LinkedIn followers
- 500 followers
About Randall Gordon
I’ve worked in the financial industry for over twenty-five years and have spent the last twelve in data governance leadership roles. I’m passionate about data governance because I believe reliable, trusted data is the foundation of data-driven decision making, effective and ethical AI, and innovation. I frequently speak at industry and data conferences, and write a column for The Data Administration Newsletter, TDAN.com. My opinions are my own, and not those of my current or prior employers.
Experience
Head of Data Governance
Jul 2022 — Present · Fort Lee, NJ, US
Lead and manage all organization-wide data governance activities. Responsible for improving the quality and managing the protection of sensitive data and information assets. Focused on establishing and ensuring adherence to an enterprise data governance framework for data policies, standards and practices, both at the Chief Data Office and Business and Functional areas level, to achieve the required level of consistency, quality and protection to meet overall business needsAccomplishments:• Data Governance Framework: created a data governance policy, principles, and procedures, with well-defined roles and responsibilities.• KPIs and KRIs: Established and tracked KPIs and KRIs for Critical Data Elements (CDEs), data catalog adoption, and data issue management.• Data Catalog implementation: selected and implemented data catalog, with capabilities to capture technical metadata, data lineage, and business glossary. Collaborated with Data Owners throughout the bank to use the catalog to document CDEs, business glossary terms, democratize data for self-service reporting and analytics.• Data Governance project/product oversight: Created and implemented a data governance checklist process to assure new products and applications are built with data governance by design.• AI Governance process: collaborated with senior managers across compliance, model risk management, third party risk, information security, legal, and other functions to develop and implement a process for evaluating AI use cases and tools from a risk/benefit perspective.
Education
RPI at Work
Master of Science - MS, Financial Services
University of Hartford
BM, Applied Music
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