Manager of Software Engineering - Data Analytics

What you'll do

• Guide engineers and set expectations for team output, practices, collaboration, and development.
• Coordinate dependencies, stakeholder relationships, and delivery in line with business requirements, compliance standards, and service agreements.
• Scale governed AI-assisted engineering and SDLC/TLM automation, measuring delivery outcomes and ensuring validation, security, resiliency, and reuse.

What they ask for

• Formal training or certification in software engineering concepts and 5+ years of applied experience; demonstrated coaching and mentoring experience.
• Experience leading technology projects and managing technologists; experience leading multi-team adoption of enterprise-authorized AI-assisted development and delivery tools.
• Proficiency in automation, continuous delivery, and the Software Development Life Cycle; advanced understanding of agile methodologies such as CI/CD, application resiliency, and security.
• In-depth knowledge of financial services IT systems, practical cloud native experience, and experience working at code level; understanding of responsible AI use and sensitive-data handling.

Nice to have

• Experience with Java Springboot, Python, PySpark, MongoDB, Oracle, or Unix.
• Experience with generative or agentic AI in design and coding.

Pay

$156,750.00-$215,000.00 USD base salary

Tools

Java Springboot, Python, PySpark, MongoDB, Oracle, Unix, CI/CD, SDLC/TLM

AI focus

Leads multi-team adoption of enterprise-authorized AI-assisted engineering and delivery tools, including governance, human-in-the-loop validation, quality gates, outcome measurement, and secure handling of sensitive inputs and outputs; applies generative or agentic AI in design and coding as a preferred qualification.