Senior Software Engineering Manager, Pyspark, SQL & AI

What you'll do

• Lead multiple engineering teams to deliver data engineering platforms and analytics solutions for finance priorities.
• Define and execute the data engineering roadmap, including scalable pipeline design and modernization.
• Architect and guide PySpark-based processing patterns to improve performance, reliability, and maintainability.
• Deliver business intelligence capabilities by partnering with stakeholders to define requirements and drive adoption.
• Establish engineering standards for code quality, testing, documentation, and production readiness.
• Drive operational excellence by monitoring service health, reducing incidents, and improving recoverability.
• Scale operating practices for enterprise-authorized AI-assisted engineering and SDLC automation across multiple teams.
• Partner with risk, security, and governance stakeholders to ensure appropriate handling of sensitive data.

What we're looking for

• Demonstrated people leadership experience managing multiple engineering teams and leaders.
• Hands-on knowledge of data engineering concepts, including batch processing patterns and data pipeline design.
• Hands-on experience building or supporting PySpark-based solutions in production environments.
• Experience delivering business intelligence solutions using business intelligence tools.
• Strong understanding of software engineering fundamentals, including code quality, testing, and production support.
• Experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools.
• Experience delivering data and analytics solutions in a finance-aligned domain (preferred).
• Experience building reusable data products and enabling self-service analytics at scale (preferred).