Director, Operational Risk Management

Job Classification:

Corporate - Risk

Prudential’s Operational Risk Management (ORM) team supports the execution of Prudential’s strategy by ensuring risks are well understood and managed. Joining ORM provides a tremendous opportunity to see across Prudential and work with senior management, Audit, Law, Compliance, and other Risk Management teams to help drive business outcomes.

We are seeking a Director of ORM, AI Risk and Governance, a Risk Partner who will be responsible for providing expertise, independent oversight and monitoring, and effective challenge supporting the AI risk and strategy at Prudential. We do this by promoting effective execution of the company’s ORM framework, providing cross-functional leadership, and through independent analysis and reporting.

This position requires strong critical thinking skills, good judgment, and the ability to turn large amounts of information into intelligence. This position also requires strong communication skills, resourcefulness, and the ability to influence others. A strong candidate will be a strategic thinker who also enjoys getting tactical and digging into and solving challenging problems while working with others.

The ideal candidate will be a seasoned risk manager with expertise in AI governance and operational risk, particularly within financial services. This Director-level role requires a proven track record of leading comprehensive risk management initiatives at a strategic level.

What you'll do:

This role is responsible for establishing and overseeing the governance, risk management, and control framework for AI and advanced analytics across the organization. This role assesses how AI products (AIPs) are designed, deployed, and operate in a safe, compliant, and responsible manner, aligned with regulatory expectations, internal policies, and risk management standards.

The role will serve as an independent second-line risk function responsible for oversight, challenge, and guidance related to the AI programs, operational risk, and governance across the AI lifecycle, from design and development through deployment and monitoring.

Through collaboration with key stakeholders and continuous enhancement of risk management frameworks, the Director drives the organization’s ability to anticipate, address, and communicate AI risks effectively, supporting the achievement of strategic objectives and operational resiliency.

AI Risk Governance & Framework Development

• Drive adoption of more robust AI enterprise AI governance framework, policies, standards, and procedures aligned with industry best practices.
• Aligning AI risk frameworks with business priorities to enable scalable governance and support responsible adoption of AI tools.
• Ensure integration of AI risk management into the broader ORM framework.

Independent Risk Oversight

• Provide second-line oversight and challenge of AI products, including risk tiering criteria and approval workflows for AI use cases and Agentic AI workflows
• Conduct ongoing risk assessments for AI products and assess associated operational, model, technology, and ethical risks.
• Oversee adherence to governance standards across the AI lifecycle (development, validation, deployment, monitoring, retirement).

AI Lifecycle Risk Management
 

• Establish and oversee risk and control requirements across the AI lifecycle from development and validation through deployment and monitoring, including unfair bias, human oversight, explainability and transparency.
• Create standardized templates for AI risk reviews and decisioning across stakeholders and contribute to the AI Governance Council presentations and risk assessments.
• Demonstrated technical fluency to understand, assess, and effectively challenge AI architectures, data pipelines, AI product behavior, and control design.

Risk Assessment & Reporting
 

• Design and oversee AI risk assessments, control testing, and monitoring processes.
• Develop risk metrics, key risk indicators (KRIs), and governance reporting for senior management and risk committees.
• Escalate material AI-related risk issues to leadership.

Cross-Functional Collaboration
 

• Partner with key stakeholders to ensure consistent governance practices.
• Support the safe adoption of AI