I&CM Data and AI Risk Governance Lead

New York, NY

Full Time

Information Technology

Manager/Supervisor

Our client, a leading global financial services company, is seeking an experienced and forward-thinking Data and AI Risk Governance Lead to support enterprise risk programs across Investments & Capital Markets (I&CM).

This is a high-impact role offering cross-functional exposure to legal, technology, and business stakeholders, as well as the opportunity to help shape the organization’s approach to AI ethics, data governance, and emerging technologies.

Salary: Up to $165,000 a year

Position Summary

As the Risk Governance Lead, you will lead the design, implementation, and oversight of data and AI risk governance frameworks. You will play a critical role in ensuring that enterprise AI initiatives are responsible, compliant, and aligned with regulatory and ethical standards.

Key Responsibilities

Cross-Functional Risk Collaboration
Partner with legal, compliance, business, and technology teams to assess and communicate AI/data-related risks and support enterprise decision-making.
Risk Evaluation & Mitigation
Lead and execute risk assessments related to AI, machine learning models, and enterprise data systems. Develop mitigation strategies and embed controls within workflows.
Governance Policy & Framework Development
Create and maintain policies and frameworks for AI governance, model risk, and data ethics in alignment with standards like NIST, ISO, GDPR, and CCPA.
Ethical AI & Compliance Advocacy
Promote the development of transparent, fair, and accountable AI practices across all business units.
Security & Information Protection
Work closely with Information Security and Data Protection teams to identify and address AI-specific vulnerabilities.
Enterprise Training & Awareness
Develop and deliver training programs to elevate understanding of AI/data risks and best practices across the organization.
Performance Metrics & Reporting
Define KPIs and KRIs, develop dashboards, and produce reports to monitor governance performance and risk posture.

Required Qualifications

8+ years of relevant experience in technology, data, or risk management roles
6+ years specifically in operational risk (information risk, model risk, or data governance)
Minimum of a Bachelor’s degree or equivalent professional experience
Demonstrated leadership experience (2–5+ years) managing cross-functional initiatives
Deep knowledge of AI/ML technologies including LLMs, NLP, and computer vision
Strong understanding of regulatory frameworks (e.g., GDPR, CCPA, NIST RMF, ISO/IEC 27001, IEEE)
Exceptional communication, analytical thinking, and stakeholder management skills

What Success Looks Like

Insightful, data-driven risk evaluations that influence business strategy
Proactive, collaborative engagement with stakeholders across legal, tech, and business teams
Ethical, risk-based decision-making that supports innovation without compromising integrity
Consistent delivery of governance KPIs, reporting, and compliance benchmarks

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