MetLife

The Opportunity

 
The Responsible Use of Data and AI Lead-Monitoring will play a pivotal role in ensuring the Responsible Use of Data and AI program delivers on its commitment to ethical, compliant, and risk-aware AI deployment. This position is responsible for overseeing the post-deployment lifecycle of AI use cases, with a focus on continuous monitoring, control validation, and risk re-assessment. The role ensures that medium and high-risk AI use cases remain within acceptable risk thresholds and that monitoring plans are executed, tracked, and revalidated on a defined cadence. Additionally, this leader will provide Quality Assurance oversight of Responsible Use of Data and AI risk assessments, with a particular emphasis on low-risk use cases, ensuring that low-risk classifications are accurate and that governance standards are upheld. This role collaborates across business units, control partners, and governance teams to maintain a robust oversight framework and drive continuous improvement in AI risk management.

How You'll Help Us Build a Confident Future (Key Responsibilities)

• Monitoring Oversight: Define and manage ongoing monitoring requirements for AI use cases across Lines of Business (LOBs), ensuring alignment with risk tiering and control partner expectations.
• Control Tracking: Track and document the execution of medium and high-risk controls, ensuring mitigation plans are implemented, monitored, and validated. Maintain visibility into control status across the Responsible Use of Data and AI portfolio and escalate unresolved risks as needed.
• Risk Assessment QA: Provide independent Quality Assurance oversight of Responsible Use of Data and AI risk assessments, validating consistency, completeness, and accuracy of risk ratings and control recommendations across all zones.
• AI Impact Assessment Validation: Review and validate AI Impact Assessment documentation to ensure it accurately reflects the identified risks, recommended controls, and defined monitoring requirements. Confirm that assessments are comprehensive, consistent across use cases, and aligned with Responsible Use of Data and AI governance standards.
• Use Case Revalidation: Coordinate periodic assessments of AI use cases based on risk level (e.g., high risk annually, medium every two years, low every three years), ensuring timely updates to risk ratings and control effectiveness.
• Portfolio Management: Maintain a centralized risk registry of AI use cases, monitoring plans, and control statuses using IBM Watson governance platform. Provide visibility into the RUAI risk landscape.
• Stakeholder Engagement: Partner with control functions (Ethical AI, Privacy, Information Security, Model Risk, Legal, etc.) and business teams to ensure monitoring responsibilities are clearly defined, executed, and escalated when necessary.
• Continuous Improvement: Identify trends, gaps, and lessons learned from monitoring activities and risk assessments to inform updates to Responsible Use of Data and AI policies, training, and governance practices.
• Regulatory Alignment: Stay current on emerging regulatory requirements and industry standards (e.g., NIST AI RMF, ISO 42001, EU AI Act) to ensure MetLife’s Responsible Use of Data and AI monitoring practices remain compliant and forward-looking.
• Reporting & Communication: Prepare and deliver regular dashboards and updates to Responsible Use of Data and AI leadership and governance committees on monitoring outcomes, risk trends, assessment QA findings, and remediation progress.

Required Skills:

• 8-10 years of experience in risk management, IT Risk Management, compliance, governance, or AI/data oversight roles, with a strong understanding of AI lifecycle risks.
• Bachelor’s or advanced degree in a technical, data, or governance-related field (e.g., Business, Finance, Risk Management, Public Policy).
• Demonstrated success in implementing monitoring programs or compliance processes at scale.
• Strong understanding of AI fundamentals and Responsible AI principles, including ethical, legal, and societal considerations in AI deployment.
• Proven ability to manage cross-functional initiatives and influence stakeholders across business, technical, and control functions.
• Familiarity with AI governance frameworks and regulatory standards (e.g., NIST AI RMF, ISO 42001, EU AI Act).
• Strong analytical, communication, and program management skills.

Preferred Skills:

• Experience with risk monitoring platforms and tools (e.g., OpenPages, Watson, GRC systems).
• Certifications in Risk Management such as GRC Professional Certification (OCEG) or CRISC (Certified in Risk and Information Systems Control) is highly desirable.
• AIGP certification or working toward AIGP preferred.