MetLife

Join our Global Risk Management Group, where you’ll play a key role in safeguarding the company, ensuring we deliver on our commitments to customers and stakeholders, and driving responsible growth. As part of our team, you’ll identify, monitor, and mitigate both financial and non-financial risks across the organization. Leverage your expertise as the second line of defense to advise our business on effective risk management strategies. This means challenging ideas, implementing robust controls, and enforcing guardrails to foster responsible business growth. Join us in advancing MetLife’s legacy of trust through exemplary risk management practices.

This position will join the AI Risk Management team within Global Risk Management.  This team provides second line oversight and review and challenge activities for AI initiatives across the Enterprise, including the Responsible Use of AI approval process. The team partners closely across risk, business, technology, and control functions to enable moving with speed and discipline.

This role supports the Responsible Use of AI (RUAI) governance and approval process. The role will engage with use case owners and control partners to enable timely assembly and review of use cases in alignment with the RUAI policy and standard. In particular, the role requires ensuring adequate materials including questionnaire responses and control artifacts are collected; agenda-setting, and facilitating meetings between control partners, use case owners, vendors, and others; and raising issues and heightened risks to AI Risk Management leadership for decisioning when necessary. Success in this role requires not only strong project and stakeholder management skills and sound judgment, but enough fluency in AI, business processes, and risk concepts to engage substantively and challenge where needed.

• 3+ years in AI risk or technology governance within cross-functional control environments, including emerging risk program development
• Strong knowledge of insurance operations/products, with relevant advanced degree or credential (e.g., quantitative field, law, risk, actuarial, security, or privacy)
• Experience with AI/ML platforms (e.g., Azure, Databricks, Domino, Langchain) and governance in regulated settings

The expected salary range for this position is $128,800 - $171,700. This role may also be eligible for annual short-term incentive compensation and stock-based long-term incentives. All incentives and benefits are subject to the applicable plan terms.