Senior Data Engineering Team Manager

Charles Schwab Inc.•Austin, TX
•$170,000 - $210,000•Onsite

About The Position

Schwab Technology Services provides technology solutions for clients managing their money. The Analytical Data Platform Engineering team supports enterprise insights, trusted data, and AI-driven decision-making. The Data Engineering and Web Applications Team Manager leads a portfolio encompassing enterprise applications, web platforms, and data engineering solutions. The role shapes and executes technology strategy and guides multiple engineering teams delivering scalable, secure, high-performing systems that support business growth and client outcomes. The manager balances strategic planning with operational execution, including modernization, cloud adoption, and engineering efficiency through automation and best practices. They partner with business leaders, product teams, architecture, data, security, and infrastructure functions to align technology investments with enterprise priorities. The role translates business needs into sustainable engineering solutions, improves data quality and governance, and supports reliable delivery of critical platforms. It also involves mentoring leaders, developing talent, and fostering accountability, innovation, collaboration, and continuous improvement. The position can influence enterprise transformation initiatives involving cloud migration, AI enablement, and modernization of core data and application platforms. The selected candidate is expected to work on site in the specified location(s). The role is eligible for bonus or incentive opportunities in addition to the salary range.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, or a related field.
  • 10+ years of experience in data engineering, data integration, analytics engineering, or related technology disciplines.
  • 5+ years of experience leading engineering teams and managing complex enterprise programs.
  • Demonstrated experience leading enterprise application development and engineering organizations.
  • Experience managing complex portfolios across application development, platform engineering, and operational support.
  • Strong knowledge of cloud platforms, modern software engineering practices, and DevOps, including CI/CD and API development.
  • Hands-on experience with technologies such as Informatica, IDMC, BigQuery, Java, Python, GCP, or similar platforms.
  • Proven experience driving modernization, transformation, and large-scale change initiatives.
  • Strong stakeholder management, communication, and executive-level presentation skills.
  • Experience managing budgets, vendors, and strategic partnerships.

Nice To Haves

  • Experience with AI/ML enablement platforms, model lifecycle management, or enterprise AI frameworks.
  • Experience with tools such as Vertex AI, Dataiku, or MLOps capabilities.
  • Experience enabling AI-assisted analytics or conversational data solutions.
  • Experience in financial services or other highly regulated industries.
  • Experience leading enterprise cloud transformation initiatives.

Responsibilities

  • Lead engineering teams across enterprise applications, web platforms, and data engineering solutions.
  • Shape and execute technology strategy while guiding teams to deliver scalable, secure, high-performing systems.
  • Drive modernization efforts, cloud adoption, automation, and engineering best practices.
  • Partner with business leaders, product teams, architecture, data, security, and infrastructure functions to align technology investments with enterprise priorities.
  • Translate complex business needs into sustainable engineering solutions.
  • Improve data quality and governance and ensure reliable delivery of critical platforms.
  • Mentor leaders, develop talent, and foster accountability, innovation, collaboration, and continuous improvement.
  • Manage complex portfolios spanning application development, platform engineering, and operational support.
  • Manage budgets, vendors, and strategic partnerships.
  • Influence transformation initiatives such as cloud migration, AI enablement, and modernization of core data and application platforms.

Benefits

  • Bonus or incentive opportunities
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