Bachelor's degree in Information Architecture, Information Management, Information Studies, Information Technology, Risk, Audit or related technical field; OR 4 years of relevant education and/or experience
8+ years of experience in Information or Data related practices to include: information governance, information management, risk, audit, information architecture, IT, analysis and reporting; OR Advanced degree in Information Architecture, Information Management, Information Studies, Risk, Audit, Information Technology or a related technical field with 6+ years of experience in Information or Data related practices as noted above.
2+ years of strong knowledge and demonstrated ability to create and evolve Data Development and Data Engineering processes.
2+ years operational knowledge of risk management and mitigation frameworks.
Experience in developing Data Governance and Data Management Strategy, road maps.
Expert knowledge of industry information/data governance best practices.
Experience in AI governance, model risk management, data governance, and compliance.
Demonstrated understanding of the AI regulatory and legislative landscape, including emerging federal and state-level AI laws, regulations, and regulatory guidance.
Understanding of the data privacy implications associated with AI, including requirements and considerations related to GLBA, CCPA/CPRA, GDPR, and other applicable privacy regulations.