AI Security Discovery & Detection Manager

The Vanguard Group•Dallas, TX

26d•Hybrid

About The Position

Vanguard is on a mission to work for the long-term financial wellbeing of its clients and lead through product and services that transform clients' lives. This role is crucial in advancing that mission by ensuring the security of AI systems. The AI Security Discovery & Detection Manager will set the strategy and roadmap for AI Security Posture Management (AISPM) Discovery and Detection. This includes defining priorities, the operating model, and measures of success. The role involves leading enterprise-wide discovery and inventory of AI systems and usage across various platforms, building and maturing AI-focused detection capabilities, and overseeing the detection lifecycle. Collaboration with various teams, including security, technology, data, risk, legal, privacy, and business, is essential to translate AI risks into actionable controls. The manager will also define metrics and reporting to communicate AI discovery and detection effectiveness, and will be responsible for recruiting, leading, and developing a high-performing team.

Requirements

5+ years in Cyber Security
At least 2 years specifically focused on Cloud Security, Data Security, or AI/ML Security
Bachelor’s degree in Computer Science, Cybersecurity, or a related field (or equivalent practical experience).

Nice To Haves

Preferred certifications: CISSP, CCSP

Responsibilities

Set the strategy and roadmap for AI Security Posture Management (AISPM) Discovery and Detection, including priorities, operating model, and measures of success.
Lead enterprise-wide discovery and inventory of AI systems and usage across endpoints, network, cloud platforms, and SaaS applications including both approved and unapproved AI.
Build and mature AI-focused detection capabilities that identify Shadow AI, policy violations, suspicious activity, and abnormal behavior within approved AI systems.
Oversee the detection lifecycle, including use-case development, prioritization, testing, deployment, tuning, coverage assessment, and integration with security monitoring and incident-response processes.
Partner across security, technology, data, risk, legal, privacy, and business teams to translate AI risks and policies into actionable discovery and monitoring controls and requirements.
Define meaningful metrics and reporting that communicate AI discovery coverage, inventory completeness, detection effectiveness, unauthorized usage trends, control gaps, and risk reduction.
Recruit, lead, and develop a high-performing team, ensuring the AI Security team is a sought-after location for talented technical talent to continue learning and evolving their craft.