Director, Software Development & Engineering (PL) - Brokerage Customer & Account Technology

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(s).

Schwab Technology Services enables the future of how clients manage their money by delivering innovative and reliable technology products and services.

As Director, Software Development & Engineering, you will lead the transformation of Schwab’s Client Data Platform and other shared broker-dealer capabilities, advancing a unified technology strategy across multiple business domains.

You will establish the vision, architecture, operating model, and execution discipline needed to modernize critical platforms, retire legacy systems, reduce technical complexity, and improve the quality, resiliency, and scalability of the technology that supports our clients.

This role provides an opportunity to define and operationalize an AI-first engineering model that incorporates generative and agentic AI throughout the software development lifecycle.

You will guide teams in applying AI to requirements analysis, system understanding, development, testing, documentation, modernization, and production operations while establishing measurable improvements in delivery speed, quality, cost, and risk.

Your strategic thinking and decision-making will help connect business priorities, regulatory expectations, architecture, data, and engineering practices into a clear, executable transformation roadmap.

You will collaborate with senior leaders, technology partners, and cross-functional teams to navigate complex organizational and regulatory considerations, establish priorities, and drive accountability for multi-year transformation outcomes.

You will also oversee technology vendor relationships and lead globally distributed teams through significant changes in platforms, processes, and ways of working.

Success will require the ability to solve complex problems, adapt the strategy as conditions evolve, communicate with transparency, and develop technical and managerial talent capable of sustaining an AI-enabled engineering organization.