Your OpportunityAt Schwab, your career is more than a job-it's an opportunity to impact the lives of millions. Innovation and creative problem solving thrive here, as we challenge conventional approaches and prioritize collaboration. We value in-person teamwork, so this role is based on-site at our San Francisco office.
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, implementation, and oversight of Schwab's responsible AI development strategy for client-facing AI solutions. This role will focus on building rigorous frameworks that combine automated evaluations with human review to support trustworthy, well-governed AI experiences for Schwab clients.
The Director will partner closely with legal, risk, compliance, product, engineering, and research teams to embed responsible AI development practices into how client-facing AI solutions are designed, tested, evaluated, and improved. By creating clear standards, repeatable processes, and strong cross-functional alignment, this role will help Schwab proactively manage AI risks while enabling responsible innovation at scale.
You will lead Schwab's responsible AI development strategy for client-facing AI solutions, establishing the frameworks, standards, and operating practices needed to evaluate, monitor, and improve AI experiences responsibly. This includes designing rigorous evaluation approaches that combine automated testing with human review, partnering across product, engineering, research, legal, risk, and compliance teams, and embedding responsible AI practices into the full development lifecycle from design through deployment and ongoing improvement. You will 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 haveRequired Qualifications- 8+ years of experience in risk management, compliance, responsible AI, AI safety, 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, AI safety, human-centered AI, sociotechnical systems, AI risk, model evaluation, or related fields.
- Demonstrated ability to analyze how AI systems affect people, 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.
