Director to lead AI Risk Oversight within Enterprise Risk Management

BlackRock is seeking a Director to lead AI Risk Oversight within Enterprise Risk Management. This role will provide independent oversight and challenge across the end-to-end AI lifecycle, focusing on how AI systems are built and governed, where models and AI services operate, how they access firm data and systems, and how they are safely deployed into production.

Key Responsibilities

• Provide independent oversight, review, and challenge of AI risk across the firm, assessing how AI capabilities are designed, governed, implemented, deployed and monitored, and holding first line owners accountable for managing risks within the firm’s risk tolerance.
• Assess the technology architecture and operating environment supporting AI, including model and data pipelines, access and entitlements, production deployment, cloud and compute infrastructure, GPU utilization and cybersecurity dependencies, ensuring appropriate controls exist as AI moves from development into production.
• Oversee risks arising from AI models operating in production, including human oversight and controls around generative and agentic AI, partnering closely with Model Risk Management to provide complementary oversight beyond traditional model risk.
• Partner with Third Party Risk to assess end-to-end risks associated with external AI models, platforms and infrastructure, including vendor dependencies, data and system access, model changes, cloud and compute concentration, and the controls governing third-party AI from selection through production deployment.
• Provide independent oversight of AI-related incidents and control issues, challenging root cause analysis and remediation, identifying systemic or emerging themes, and ensuring material risks and unresolved issues are appropriately escalated.
• Develop an enterprise view of AI risk through meaningful metrics, risk indicators and senior-level reporting, translating technical risks across models, deployments, infrastructure, third parties and controls into clear assessments of residual risk for senior management, committees and boards.
• Serve as a senior RQA leader connecting AI risk across Model Risk Management, Technology and Cyber Risk, Third Party Risk, Data Risk, Legal & Compliance, Privacy and business technology teams, ensuring clear accountability and an integrated approach to managing AI risk across the firm.
• Build and lead a credible AI risk capability within RQA, combining technical understanding with independent risk judgment to challenge senior AI, engineering and business leaders and communicate complex AI risks clearly to executive and board-level audiences.

What We Look For

• Enterprise experience across model risk, AI/ML governance, technology risk, enterprise risk, engineering risk, model implementation or a closely related control discipline, ideally within financial services or another highly regulated environment.
• Strong understanding of the AI/ML lifecycle, including model development, validation, integration, deployment, inference, monitoring and production operations.
• Experience with model governance and model implementation, with an ability to distinguish traditional model validation from the broader technology and operational risks associated with deploying AI at enterprise scale.
• Strong understanding of modern AI architecture and infrastructure, including model APIs, data and inference pipelines, cloud environments, compute/GPU infrastructure, access management and production deployment patterns.
• Understanding of risks associated with generative and agentic AI, including hallucination, reliability, data access, third-party models and the use of AI within automated or agentic workflows.
• Experience assessing third-party technology or AI risk, including dependencies created through external models, platforms, cloud infrastructure and AI service providers.
• Ability to assess the effectiveness of technical and operational controls and provide credible independent challenge to senior engineers, AI practitioners and business leaders.
• Demonstrated experience developing risk metrics, indicators and senior management reporting that translate complex technical issues into clear assessments of risk.
• Excellent judgment and critical reasoning, with the ability to differentiate between theoretical AI risks and risks that are material in real-world enterprise production environments.
• Strong communication and influencing skills, with the ability to operate credibly with senior technology, risk and business executives.
• Familiarity with established and emerging AI and technology risk frameworks, such as the NIST AI Risk Management Framework, NIST Cybersecurity Framework and model risk management principles, is preferred.
• A bachelor's degree in computer science, engineering, mathematics, statistics, finance, risk management or a related discipline is required; an advanced degree or relevant professional certification is a plus.

Benefits

• Salary range: USD$210,000.00 - USD$270,000.00
• Annual discretionary bonus
• Healthcare
• Leave benefits
• Retirement benefits
• Tuition reimbursement
• Flexible Time Off (FTO)