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.

Required qualifications

• Bachelor’s degree in Computer Science, Information Systems, or a related field
• 10+ years of experience managing broker-dealer systems with a focus on system transformation
• Deep knowledge of broker-dealer capabilities and operations, including the regulatory considerations affecting technology platforms
• Demonstrated experience leading large-scale, complex technology transformations from strategy through implementation
• Broad technical expertise across application development, cloud-based development, web services, middleware, operating systems, databases, networking, security, and IT infrastructure
• Demonstrated experience leading AI-first delivery across the software development lifecycle, including the application of generative or agentic AI to system analysis, requirements, testing, code modernization, documentation, or production operations
• Demonstrated experience developing and executing legacy-system exit strategies, including system decomposition, data migration, technical-debt reduction, and platform decommissioning
• Demonstrated experience building and leading high-performing, globally distributed engineering teams
• Demonstrated ability to influence senior stakeholders, establish clear expectations, resolve competing priorities, and maintain accountability for transformation outcomes

Preferred qualifications

• Experience transforming legacy or mainframe-centered engineering environments into modern, distributed technology platforms
• Experience applying AI to understand, reverse engineer, modernize, or retire complex legacy systems
• Ability to connect organizational strategy, architecture, engineering practices, operating processes, and platform economics when making decisions
• Experience establishing measurable improvements in engineering velocity, quality, cost, resiliency, and operational risk
• Experience evaluating, selecting, and managing IT services providers and third-party technology vendors
• Ability to operate effectively through ambiguity while maintaining disciplined execution and a strong focus on outcomes
• Ability to communicate complex technology strategies clearly and credibly to executive, business, and engineering audiences
• Demonstrated ability to identify, mentor, and develop technical and managerial talent at scale
• Experience developing an engineering culture that embraces automation, transparency, adaptability, continuous learning, and shared accountability

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