Director, Responsible AI

Your Opportunity

Schwab’s AI Strategy & Transformation team, known as AI.x, is the central hub for Artificial Intelligence at Schwab. We are an integrated product, engineering, research, risk, and enablement team focused on advancing AI responsibly across the enterprise. We help shape the enterprise vision for AI, invest in the most promising opportunities, accelerate delivery across the company, and build the core platform that powers AI at scale. The Director of Responsible AI will lead the vision, development, implementation, and oversight of Schwab’s responsible AI strategy for client-facing AI solutions. This role will focus on building and driving rigorous technical, policy and governance frameworks to help Schwab proactively manage AI risks, support trustworthy and safe AI experiences for Schwab clients, and enable responsible innovation at scale The Director will partner closely with legal, risk, compliance, product, engineering, and research teams to embed responsible AI development policies and practices into how client-facing AI solutions are designed, tested, evaluated, and improved. By enabling clear standards, repeatable processes, and strong cross-functional alignment, this role will help Schwab proactively manage AI risks while enabling responsible innovation at scale. This role will also help translate emerging AI risks, regulatory expectations, and enterprise standards into practical guidance for teams building client-facing solutions, while creating repeatable processes that enable innovation, strengthen trust, and support Schwab’s commitment to responsible AI at scale.

What you have

Required Qualifications

• 8+ years of experience in trust and safety, responsible AI, AI safety, risk management, compliance, applied AI research, model evaluation, or a related field, with at least 2 years focused on AI systems.
• Experience leading or overseeing applied research programs in Responsible AI, Trust and Safety, AI safety, human-centered AI, sociotechnical systems, AI risk, model evaluation, or related fields.
• Demonstrated ability to analyze how AI systems affect workflows, clients, institutions, incentives, and decision-making contexts.
• 3+ years of experience developing and implementing AI risk management or responsible AI development frameworks in collaboration with legal, compliance, risk, privacy, cybersecurity, product, engineering, or research teams.
• Working knowledge of modern AI systems, including generative AI and agentic AI, sufficient to challenge assumptions, interpret research findings, and make risk-informed decisions.

Preferred Qualifications

• Experience operationalizing responsible AI development practices through governance processes, risk assessments, model documentation, testing, monitoring, and issue escalation.
• Advanced degree or equivalent applied experience in computer science, data science, human-computer interaction, social science, public policy, ethics, law, risk management, or a related field.
• Experience translating applied AI, Responsible AI, AI safety, human-centered AI, sociotechnical systems, or model evaluation research into practical standards, controls, guidance, or product development practices.
• Proven ability to influence senior leaders and build alignment across technology, product, legal, risk, compliance, privacy, cybersecurity, internal audit, and research teams.

In addition to the salary range, this role is also eligible for bonus or incentive opportunities.