Senior Vice President, AI Governance for Risk Management

The Company is seeking a senior executive to lead enterprise-level AI technical governance for risk management. The role involves establishing technical standards, safety boundaries, and defensive controls for production AI systems, including predictive models, generative systems, retrieval pipelines, and autonomous agents. Responsibilities include reviewing platform architectures, identifying vulnerabilities before release, and translating risk tolerances into practical engineering controls for monitoring, access privileges, output validation, telemetry, and system boundaries. The executive will also assess emerging AI approaches against safety benchmarks and advise governance committees, audit reviews, and regulatory engagements on accountability and system stability. Candidates should have at least 15 years of relevant experience and a bachelor’s degree in computer science, systems engineering, data science, cyber operations, or a related technical discipline; advanced study or research contributions are valued. Strong understanding of AI and machine-learning architecture, technology risk, and cyber risk management is required. Experience in risk management, financial risk, compliance, and AI governance is relevant to the role.