Sr AI Governance Analyst II

About the Role

We're looking for a Senior AI Governance Analyst to join our Ethical and Responsible AI (ERAI Governance) Program within Enterprise Data & Analytics. In this high-impact role, you'll help shape how we safeguard the organization while enabling responsible AI innovation. You'll lead the operationalization, management, and continued maturation of the AI risk assessment process, helping ensure AI use across the organization is appropriately assessed, inventoried, monitored, and governed.

Working closely with teams across Risk, Governance, Enterprise AI Enablement, Data & Analytics, and Technology, you'll translate regulatory requirements into practical, scalable processes that support innovation and effective risk management.

This will include managing a consistent set of policies, standards, and principles to enable the strategic, ethical, and responsible development, deployment, and use of artificial intelligence, data, and analytics while articulating the value of AI governance.

You'll have the opportunity to:
AI Risk Assessment Process: Co-lead the design of the AI use case risk assessment process. Operationalize and continuously mature assessment methodologies, scoring criteria, workflows, controls, guardrails, monitoring requirements, and training to ensure quality, consistency, and adherence to service level agreements (SLAs).
Operating Model Design & Maturity: Drive the effectiveness and continuous improvement of the AI risk assessment program by overseeing the quality, consistency, completeness, efficiency, and transparency of assessment activities. Monitor assessment queues and turnaround times, remediate at-risk or overdue assessments, identify opportunities to streamline processes, and ensure assessments are conducted in a scalable and reliable manner.
Cross-Departmental Collaboration: Partner with IT, Risk, Privacy, Compliance, AI Enablement, Technology, Data Science, Data Governance, and business teams to research and resolve AI risk concerns, support AI innovation, and ensure emerging capabilities are implemented ethically, safely, responsibly, and with appropriate governance and oversight.
Monitoring and Reporting: Develop and deliver dashboards, reporting, and insights related to risk exposure, mitigation effectiveness, regulatory compliance, program performance, operational effectiveness, and governance outcomes. Identify opportunities for improvement across business units and present findings to senior leaders and business partners.
Stakeholder Engagement: Serve as a trusted advisor to business and technical teams on AI risks, governance requirements, and the AI risk assessment process. Host office hours, deliver training, provide guidance on requirements, and promote the adoption of governance practices.
Mentorship and Team Development: Mentor and coach junior analysts by sharing governance expertise, best practices, and risk assessment techniques. Foster a collaborative culture focused on continuous improvement, critical thinking, respectful challenge, and leveraging diverse perspectives to achieve the best outcomes.
Training and Enablement: Develop and maintain training materials, playbooks, and guidance for enterprise-wide adoption of the AI risk assessment process. Demonstrate curiosity and a growth mindset by exploring AI technologies, understanding their opportunities and risks, and identifying responsible ways to improve team outcomes.
Policy and Compliance Management: Manage the Principal AI Policy and Standards and measure governance compliance and maturity across the enterprise.
Security: Follow all security policies and procedures to ensure the highest level of system and data confidentiality, integrity, and availability.