About this role
BlackRock is one of the world’s leading asset management firms, committed to helping investors build better financial futures. We bring together the best of technology and investment expertise to deliver innovative solutions across markets and geographies. Risk management is central to our mission, and data and technology are among our most important assets, serving as key differentiators for both the firm and our Aladdin business.
Business Overview
Our Risk & Quantitative Analysis (RQA) group provides independent oversight of BlackRock’s fiduciary and enterprise risks. The Enterprise Risk Management (ERM) function within RQA oversees risks that directly impact the corporate entity, including operational, technology, third party, model, and data risk, rather than the fiduciary risks assumed by funds and clients.
As a second line of defense function, our mission is to ensure senior management has defined and implemented effective risk management controls that protect our clients and our firm, while supporting the achievement of firm-wide business goals within our risk tolerance. RQA is committed to investing in our people to build both individual capability and a strong, collaborative team, within a culture of inclusion that encourages teamwork, innovation, and the development of future leaders.
The Opportunity
Artificial intelligence is rapidly becoming embedded across BlackRock’s technology, investment, operating and client-facing platforms. As AI capabilities move from experimentation into production, the firm must manage not only the risks inherent in models, but also the broader ecosystem through which AI is built, accessed, deployed and operated.
We are 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.
The successful candidate will bring together risk considerations that span traditional organizational boundaries. This includes AI model (including agentic AI) and deployment risks, AI infrastructure and architecture, access management, third-party party enablement and native AI usage, cybersecurity dependencies, production monitoring, and AI compute and inference risk .
This individual will partner closely with Model Risk Management, Technology and Cyber Risk, Third Party Risk, Information Security, Engineering and first line AI owners to establish a holistic view of AI risk across the firm. The role requires someone who understands both the technical architecture supporting modern AI systems and the risk and governance frameworks required to deploy them safely at enterprise scale.
Key Responsibilities
AI Risk Oversight
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.
AI Architecture, Infrastructure and Deployment Risk
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.
Model Behavior and Production Risk
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.
Third-Party Enablement and AI Risks
Partner with Third Party Risk to assess end-to-end risks associated with external AI models, platforms and infrastructure, including vendor…