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About the Role
BlackRock's Risk & Quantitative Analysis (RQA) group provides independent oversight of fiduciary and enterprise risks. The Enterprise Risk Management (ERM) function within RQA oversees risks impacting the corporate entity. We are seeking a Director to lead AI Risk Oversight within ERM, providing 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.
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.
Requirements
- 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.
Skills
- AI/ML governance
- Technology risk
- Enterprise risk
- Engineering risk
- Model implementation
- AI/ML lifecycle
- Model governance
- AI architecture
- AI infrastructure
- Risk metrics
- Risk indicators
- Reporting
- Communication
- Influencing
Location
- New York, NY
Work Type
- Hybrid
Experience Level
- Director
Education Level
- Bachelor's degree in computer science, engineering, mathematics, statistics, finance, risk management or a related discipline required; advanced degree or relevant professional certification is a plus.
Salary/Compensations
- USD$210,000.00 - USD$270,000.00
Benefits
- Annual discretionary bonus
- Healthcare
- Leave benefits
- Retirement plan
- Tuition reimbursement
- Support for working parents
- Flexible Time Off (FTO)
About the Company
- BlackRock is one of the world’s leading asset management firms, committed to helping investors build better financial futures.
- Our Risk & Quantitative Analysis (RQA) group provides independent oversight of BlackRock’s fiduciary and enterprise risks.
- At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.
- Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses.
- Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.
- This mission would not be possible without our smartest investment – the one we make in our employees.
- It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.
Equal Opportunity
- BlackRock is proud to be an equal opportunity workplace.
- We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law.
- View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement.
- BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities.
- If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com.
- All requests are treated in line with our privacy policy.
- BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.