Director, AI Security Governance (PL)

Charles Schwab Inc.•Westlake, TX

1d•$121,400 - $269,900•Onsite

About The Position

Charles Schwab is seeking a visionary and strategic leader to serve as Director of TRM – AI Security. This role leads the development and execution of the company’s security risk management for AI, ensuring the safe and responsible use of artificial intelligence across the enterprise. The Director oversees experts conducting AI security assessments, partners with security engineering teams to implement safeguards, and drives adoption of AI Trust, Risk, and Security Management (TRiSM) tools. The role helps shape Schwab’s approach to secure AI innovation in alignment with company policies and standards, industry guidance such as NIST, and regulatory requirements. The Director leads and mentors AI security and risk management professionals; defines the AI security vision, strategy, and roadmap; and collaborates with Data Science, Corporate Risk Management, Legal, and Schwab Technology Services. The role oversees assessments of AI models, systems, and applications; develops a comprehensive control framework; and establishes AI lifecycle security governance procedures. Responsibilities also include managing TRiSM tool evaluation, selection, and implementation; integrating AI risk management tools with existing cybersecurity infrastructure; identifying monitoring controls for AI security risks and threats; and implementing technical and procedural safeguards. The Director develops and delivers secure AI training, promotes awareness of AI risks and best practices, oversees and prioritizes cybersecurity initiatives involving AI adoption, monitors progress, resourcing, and metrics, and reports AI security posture to senior leadership and stakeholders. The position is intended to be performed onsite in the specified location.

Requirements

Bachelor’s degree in Computer Science, Cybersecurity, Data Science, or a related field.
10+ years of experience in cybersecurity.
Direct experience with AI, advanced analytics, model governance, digital products, technology transformation, or emerging-technology governance.
Proven leadership experience managing technical teams and strategic programs.
Deep understanding of AI/ML technologies, model risk, and security implications.
Familiarity with TRiSM tools and AI security governance frameworks such as NIST AI RMF.
Experience improving governance workflows or supporting client-facing or regulated products and services.
Experience engaging senior executives, governance committees, regulators, or boards.
Significant experience in financial services or another highly regulated industry, including governance, risk management, controls, compliance, product review, technology governance, or a related field.
Experience helping business, product, or technology teams navigate enterprise governance and approval processes.
Demonstrated ability to lead complex cross-functional work and influence senior stakeholders without direct authority.
Ability to translate complex risk, regulatory, policy, and technical requirements into clear actions for non-specialist audiences.
Strong facilitation, structured problem-solving, program management, and executive communication skills.
Sound judgment and ability to balance responsible risk management with innovation, client value, and business execution.
Working knowledge of enterprise governance models and the distinct responsibilities of business owners, governance facilitators, risk and control functions, and independent assurance.
Familiarity with AI governance, model risk, technology risk, data governance, privacy, cybersecurity, third-party risk, product governance, supervision, or responsible AI.
Understanding of governance considerations for generative, agentic, embedded, vendor-provided, and client- or representative-facing AI.
Experience with risk-based review models, governance patterns, reusable controls, intake workflows, inventories, or related reporting.

Nice To Haves

Experience at a large financial-services institution.
Advanced degree or equivalent professional experience.
CISSP, CISM, or equivalent cybersecurity certifications.

Responsibilities

Lead and mentor a team of AI security and risk management professionals.
Define and drive Schwab’s AI security vision, strategy, and roadmap.
Collaborate with Data Science, Corporate Risk Management, Legal, and Schwab Technology Services to align AI security initiatives.
Oversee security assessments of AI models, systems, and applications.
Develop and maintain a comprehensive control framework to safeguard AI usage.
Establish security governance procedures for AI lifecycle management.
Manage evaluation, selection, and implementation of TRiSM tools.
Ensure AI risk management tools are integrated with existing cybersecurity infrastructure.
Identify monitoring controls for AI security risks and threats, including insider risk, data leakage, malicious code injection, and violations of acceptable usage requirements.
Implement technical and procedural safeguards to mitigate AI-related risks.
Develop and deliver secure AI training programs for technical and non-technical audiences.
Promote awareness of AI risks and best practices across the organization.
Oversee and prioritize cybersecurity initiatives involving AI adoption.
Monitor project progress, resource allocation, and performance metrics.
Report AI security posture to senior leadership and stakeholders.