About this role
About the Role This position is responsible for executing AI Risk Management practices across the enterprise by identifying, assessing, mitigating, and monitoring complex risks associated with AI systems. The role provides subject matter expertise to ensure AI systems are governed with rigor, including conducting bias testing, impact assessments, and continuous monitoring of production systems. You will translate governance policy into demonstrable, evidenced risk outcomes. What You'll Do
- Design and document AI risk controls for AI systems to directly protect consumers.
- Conduct bias testing and impact assessments using complex methodologies appropriate to system risk levels.
- Contribute to development and refinement of AI governance practices by researching industry trends and sharing insights.
- Partner with technology teams to implement API integrations and data flows enabling AI system monitoring and validation processes.
- Monitor AI systems in production, coordinating with system owners to review outputs, track performance, and identify potential risks or anomalies.
- Analyze risk and monitoring data to identify trends and support identification of potential areas for remediation or governance focus.
- Maintain data quality within AI system inventory and governance tracking tools, partnering with system owners to ensure completeness and accuracy.
- Prepare and contribute to risk reporting, dashboards, and governance materials; translate technical findings into clear summaries for stakeholders.
- Partner with business and technology teams to review and validate AI risk assessments and supporting control evidence in alignment with governance standards.
- Support development and tracking of remediation plans for identified issues in partnership with stakeholders.
- Collaborate with Legal, InfoSec, Privacy, Model Risk Management, and AI/ML Engineering teams to align governance activities with enterprise risk management expectations. What We're Looking For
- 4 Year/Bachelor's degree or equivalent work experience (4 years of experience in lieu of Bachelor's).
- 3 – 5+ Years experience in AI/ML risk management, model risk, data science, or a related quantitative field that directly aligns with the specific responsibilities for this position.