Sr Manager, Software Development & Engineering Lead (PL)
About The Position
Schwab is seeking a Senior Manager, Software Development & Engineering to lead multiple Agile and Lean engineering teams responsible for large-scale, business-critical technology platforms. The role translates business priorities into clear engineering objectives, guides delivery execution, improves platform reliability, and strengthens operational excellence across teams. The manager partners with product, architecture, SRE, QA, program management, finance, talent acquisition, business stakeholders, and adjacent engineering groups to deliver cohesive outcomes. The role combines people and technical leadership, requiring the ability to work across strategy and execution, build trusted partnerships, develop engineering talent, and lead platform modernization and responsible GenAI adoption. The leader will help teams improve quality, reduce operational toil, modernize legacy platforms, and deliver reliable technology outcomes supporting Schwab’s clients, business partners, and long-term technology strategy. The position is intended to work on site in the specified location(s).
Requirements
- Demonstrated engineering management experience leading multiple software engineering teams responsible for platform delivery, modernization, operational support, and production ownership.
- Ability to provide technical leadership, guide technical direction, influence architecture decisions, improve engineering standards, and help teams navigate complex tradeoffs.
- Strong systems engineering capability, including understanding scalable, resilient, secure, and maintainable platforms across applications, services, dependencies, and data flows.
- Experience leading disciplined SDLC practices across planning, delivery, testing, validation, documentation, deployment, and operational readiness.
- Ability to use generative AI or AI-assisted engineering practices responsibly to improve planning, delivery, quality, documentation, automation, modernization, and operational efficiency.
- Strong stakeholder management skills and ability to align product, architecture, SRE, QA, program management, finance, business partners, and engineering teams around shared outcomes.
- Demonstrated ability to develop managers, technical leads, and engineers through coaching, mentorship, feedback, career development, and talent planning.
- Strong technical judgment, business acumen, communication skills, and ability to make data-informed decisions in complex or ambiguous environments.
Nice To Haves
- Experience with large-scale software systems using modern engineering technologies such as Java, .NET, cloud platforms, containers, microservices, relational databases, NoSQL, and messaging platforms.
- Experience leading teams in a large, complex organization, including onshore and offshore delivery models.
- Experience improving operational health through KPIs, SLAs, production readiness, monitoring, documentation, and continuous improvement.
- Experience leading platform modernization, including legacy system analysis, modernization assessment, migration planning, validation, deployment, and adoption of modern engineering practices.
- Familiarity with GitHub Copilot, Claude Code, or similar AI-assisted engineering tools.
- Experience building mechanisms that scale adoption and knowledge sharing, such as champion forums, reusable practices, playbooks, or team learning communities.
Responsibilities
- Lead multiple Agile and Lean software engineering teams responsible for platform delivery, modernization, operational support, and production ownership.
- Translate business priorities into clear engineering objectives and guide delivery execution.
- Provide technical leadership by guiding technical direction, influencing architecture decisions, improving engineering standards, and helping teams navigate complex tradeoffs.
- Improve platform reliability, operational health, and engineering excellence.
- Lead disciplined SDLC practices across planning, delivery, testing, validation, documentation, deployment, and operational readiness.
- Apply generative AI and AI-assisted engineering practices responsibly to improve planning, delivery, quality, documentation, automation, modernization, and operational efficiency.
- Align product, architecture, SRE, QA, program management, finance, business partners, and engineering teams around shared outcomes.
- Develop managers, technical leads, and engineers through coaching, mentorship, feedback, career development, and talent planning.
- Lead platform modernization, including legacy system analysis, modernization assessment, migration planning, validation, deployment, and adoption of modern engineering practices.
- Improve operational health through KPIs, SLAs, production readiness, monitoring, documentation, and continuous improvement.
Benefits
- Eligible for bonus or incentive opportunities in addition to the salary range.
- Meaningful work, mentorship, training, collaboration, and continuous learning.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
