Sr. Manager, AI Fluency Lead, AI.x

Your Opportunity At Schwab, you will build a rewarding career while making a difference in the lives of our millions of clients. Here, innovative thinking meets creative problem solving as we work together to challenge the status quo. We believe in the power of collaboration and value being together in the office, which is why this role is based on-site in our Austin, TX or San Francisco, CA offices. Joining Schwab means joining a company committed to transforming the financial industry and putting clients at the center of everything we do. 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, strategy and risk team, all based in San Francisco. We help set the enterprise vision for AI, invest in the most promising opportunities, and accelerate delivery across the company. We also build the core platform that powers AI at scale and explore next-generation GenAI efforts that will redefine how we serve our clients. Within the AI Strategy & Transformation (AI.x) organization, the Senior Manager, AI Measurement & Insights shapes how Schwab measures, understands, and scales artificial intelligence across the firm. This role focuses on turning complex data into clear, trusted insights that inform leadership decisions, guide investment priorities, and support responsible, enterprise-wide AI adoption. This is a hands-on, senior individual contributor role. You will design enterprise measurement systems, establish standards, and translate AI activity into meaningful signals leaders use to drive impact. You'll collaborate across business, technology, and governance teams to ensure measurement is credible, consistent, and aligned to firm outcomes in a highly regulated environment. What You'll Do Design and evolve enterprise AI measurement frameworks to assess adoption, maturity, and value realization Translate AI strategy into clear metrics, definitions, and leading indicators leaders can use consistently Build and maintain executive-ready dashboards that combine data, context, and actionable narrative Turn telemetry and operational data into insights that clarify what's happening, why it matters, and what to do next Partner with business, product, engineering, and governance teams to strengthen data quality and measurement integrity Identify adoption friction and measurement gaps, and recommend improvements to enablement, workflows, or tooling Establish scalable standards and operating mechanisms that support sustained execution over time What you have

Required Qualifications:

Bachelor's degree in Business Analytics, Data Science, Computer Science, Statistics, Economics, or a related field 8-12+ years of experience applying analytics, BI, product analytics, or decision intelligence in a technology-driven environment Demonstrated ability to design and operationalize measurement frameworks, including metric definition, governance, and operating cadence Ability to synthesize complex data into clear, executive-ready insights and recommendations Experience building dashboards or reporting solutions using tools such as Power BI, Tableau, Looker, or similar platforms Working fluency in AI concepts, including generative AI, with the ability to measure adoption, behavior change, and impact Skill in influencing without authority and collaborating effectively in matrixed organizations

Preferred Qualifications:

MBA or Master's degree, or equivalent combination of education and relevant experience Experience operating in financial services or another regulated environment Demonstrated success improving data reliability, instrumentation, or telemetry through cross-functional partnerships Comfort navigating ambiguity and setting direction where standards or data are still emerging Strong judgment when balancing innovation, risk, and enterprise responsibility Experience creating insight-led dashboards that pair quantitative signals with clear business context