Director, AI Security Governance (PL)

Charles Schwab Corporation; Westlake (TX); On-site; USD 200,000 - 260,000; Full time

Job summary

Charles Schwab Corporation seeks a Director of TRM – AI Security to lead enterprise AI security risk management, influence governance, and ensure safe AI adoption. You will oversee assessments, framework development, and TRiSM tool implementation with cross-functional teams across risk, legal, data science, and technology services.

The role requires a strategic thinker with strong leadership, stakeholder engagement, and communication skills, working on-site in a regulated financial services

Qualifications

• Bachelor’s degree in Computer Science, Cybersecurity, Data Science, or 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 (e.g., NIST AI RMF).
• Experience improving governance workflows or supporting regulated products/services
• Experience engaging senior executives, governance committees, regulators, or boards
• Significant experience in financial services or other highly regulated industry, including governance, risk mgmt, controls
• Ability to translate complex requirements for non-specialists
• Strong facilitation, problem solving, program management, executive communication
• Knowledge of enterprise governance models and governance roles
• Familiarity with AI governance, model risk, data governance, privacy, cybersecurity
• Understanding governance considerations for generative/agentic AI

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.
• Oversee security assessments of AI models, systems, and applications.
• Develop a comprehensive control framework to safeguard AI usage.
• Establish security governance procedures for AI lifecycle management.
• Manage selection and implementation of TRiSM tools and safeguards.
• Ensure integration of AI risk management tools with cybersecurity infrastructure.
• Identify monitoring controls to manage AI security risks and threats.
• Implement technical and procedural safeguards to mitigate AI 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, resources, and performance metrics.
• Report AI security posture to senior leadership and stakeholders.

Skills

AI security leadership

Strategic leadership

Executive communication

Cross-functional collaboration

Risk governance

Regulatory compliance

Threat modeling

Security program management

Problem solving

Stakeholder influence

Security governance

Education

Bachelor’s degree in Computer Science/Cybersecurity/Data Science or related

Advanced degree or equivalent experience

CISSP/CISM or equivalent certifications

Tools

TRiSM tools

NIST AI RMF familiarity

Job description

Your Opportunity

At Schwab, you’re empowered to make an impact on your career. Here, innovative thought meets creative problem solving, helping us “challenge the status quo” and transform the finance industry together.

We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location.

Charles Schwab is seeking a visionary and strategic leader to serve as Director of TRM – AI Security. This role will lead the development and execution of Schwab’s security risk management for AI, ensuring the safe and responsible use of artificial intelligence across the enterprise. The Director will oversee a team of experts conducting AI security assessments, working with security engineering teams to implement AI safeguards, and driving adoption of AI Trust, Risk, and Security Management (TRiSM) tools. This role is critical in shaping Schwab’s approach to secure AI innovation while aligning with Schwab’s policies and standards, industry guidance such as NIST and regulatory requirements.

Key Responsibilities

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

What you have

Required Experience:

• Bachelor’s degree in Computer Science, Cybersecurity, Data Science, or 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 (e.g., 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 the 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

Preferred Experience:

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