Senior Manager, Artificial Intelligence Risk Management

Your Opportunity At Schwab, you're empowered to make an impact. Here, innovative thought meets creative problem solving, helping us "challenge the status quo" and transform the finance industry together. The AI Risk Management team is part of the broader Model Risk Oversight (MRO) team under the Corporate Risk Management umbrella. The AI Risk Management team's purpose is to establish a framework which enables Schwab to safely onboard and use artificial intelligence tools to protect our clients and our company as well as meet industry standards and regulatory requirements. The team is responsible for creating AI policy and procedures, establishing reporting, organizing committee and working group meetings, ensuring a complete inventory of AI tools and their status, and liaising with both first line (data scientists, AI developers, implementation teams, strategy teams) and second line (Compliance, Technology Risk, Data Risk, and Operational Risk). This role provides an opportunity to drive program requirements and build key relationships with AI stakeholders during the early stages of establishing AI risk at Schwab. We are looking for an individual contributor to help build out and establish AI risk at Schwab in alignment with other corporate risk management programs. This role will report to the Director of AI Risk Governance and be responsible for: Creating guidance for development, implementation, and testing of AI solutions across the AI lifecycle, including performance evaluation and monitoring of AI solutions. Maintaining and socializing AI risk standards. Collaborating with stakeholders across Schwab to holistically mitigate the risk of using AI at the Company, including first line and second line teams. Organizing and providing training on AI program requirements. Reporting and communicating the status of AI risk at the Company to various levels of senior leadership and committees. Creating monitoring programs for different AI techniques. Performing AI assessments to identify areas for improvement. Remediating and executing on areas for improvement, including rolling out and communicating these changes. Designing AI validation scope and model performance monitoring requirements. What you have Required Qualifications Bachelor's degree. Experience with a broad set of artificial intelligence and data science techniques. Understanding of risk management frameworks. Motivation to leverage AI knowledge to educate and collaborate with AI owners and developers. High attention to detail. Ability to work collaboratively and influence cross-functional teams. Preferred Qualifications Master's degree or related certifications. Familiarity with

NIST AI 100-1, FHFA AB

2022-02, or other AI governance frameworks. Experience in the banking industry. Experience in development and implementation of various AI, machine learning, or other model methodologies (including, but not limited to GenAI, multi-modal LLM models, XGBoost, etc.) Experience with model validation concepts and SR 26-2. Experience with change management and training delivery.