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AI Governance Lead
Develops and operationalizes comprehensive frameworks to ensure responsible, ethical, and compliant use of artificial intelligence systems across financial institutions and regulated enterprises
Key Responsibilities:
- Collaborate with AI Working Groups to establish governance policies for AI ethics, fairness, transparency, and accountability
- Operationalize AI Governance Framework across the complete use case lifecycle from business case to production monitoring
- Work with control functions and stakeholders to integrate responsible AI practices and ensure regulatory compliance
- Implement methodologies to detect and mitigate biases in AI models through systematic auditing processes
- Develop educational programs and training initiatives to ensure responsible AI usage across all departments
- Track AI governance KPIs, produce compliance reports, and recommend policy refinements based on performance data
- Maintain relationships with external regulatory bodies, policymakers, and industry leaders on AI regulations
Skills & Tools:
- AI governance, risk management, and compliance frameworks
- AI ethics policies and regulatory framework understanding
- Bias detection and AI model interpretability techniques
- Cross-functional collaboration with technical and business teams
- Financial services regulatory knowledge (banking, securities regulations)
- AI inventory management and lifecycle monitoring systems
- Stakeholder engagement and policy development capabilities
- Educational program design and implementation
- Risk assessment and mitigation methodologies
- Strong leadership and collaborative management style
Where This Role Has Appeared:
- SMBC (Financial Services/Banking, New York, NY, $163k-$260k, July 2025)
Variants & Related Titles:
- AI Risk Officer
- AI Ethics and Compliance Manager
- Responsible AI Program Lead
- AI Policy Director
- AI Regulatory Affairs Manager
Why This Role Is New:
AI Governance Lead emerged in 2023-2024 as financial institutions deployed AI at scale and regulators worldwide began implementing AI-specific oversight requirements. Unlike traditional risk management roles, this position addresses the unique governance challenges of AI systems including algorithmic bias, model explainability, and the need for continuous monitoring of AI behavior in production environments.
Trend Insight:
As financial regulators globally intensify AI oversight and major banks face potential penalties for AI-related compliance failures, financial institutions are creating senior governance roles to ensure their AI investments meet both ethical standards and regulatory requirements.
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