Software Engineering Manager

UL Solutions•Northbrook, IL

23h•Hybrid

About The Position

The Manager, Analytics Engineering owns execution across the analytics software development lifecycle, including roadmap delivery, engineering standards, and operational excellence (including Level 3 production incident resolution). Success requires removing delivery blockers, improving throughput and quality, and coaching analytics engineers and leads in a matrixed environment. The manager also evaluates and appropriately applies automation (including GenAI-enabled tooling) to improve developer productivity and solution reliability.

Requirements

14+ years of professional experience in software development and architecture.
Experience managing teams of 7–10 direct reports; minimum team size of 5 developers involved in project delivery.
Key Technologies: Power BI, Python, SQL, ETL processes, data modeling, and AI tools (e.g., GenAI)
2 years of experience designing and leading solutions on cloud platforms, including Snowflake, Databricks, and Microsoft Azure.
Strong understanding of cloud-native environments and modern data infrastructure.
Preference for PaaS/SaaS architectures over traditional on-premise solutions.
Familiarity with Docker and CI/CD pipelines; experience with configuration and deployment automation.
Deep commitment to Agile principles (non-Scrum), with a focus on agile delivery and iterative development.
Proven ability to drive requirements, lead agile teams, and collaborate closely with development teams.
Experience in pure Agile environments, with occasional use of waterfall concepts where beneficial.
Advocates for clean code practices; emphasizes developer productivity and code quality through peer reviews and measurable standards.

Responsibilities

Ensure new team members adopt and adhere to established development standards and best practices
Champion agile methodologies to drive development philosophy and continuously improve software quality
Collaborate closely with developers to identify and eliminate blockers, enabling smoother workflows and faster onboarding of external vendors
Monitor and validate progress to ensure teams remain on track with deliverables
Strategically balance delivery timelines with technical debt, identifying creative shortcuts where feasible without compromising quality
Lead a team of domain-experienced tech leads, providing guidance and support across various technical areas
Work in a matrixed environment, coordinating with teams responsible for requirements, development, and operations
Focus on building scalable solutions for internal users (95%) and external stakeholders (5%), leveraging diverse libraries and tools
Lead across multiple tech domains, effectively delegating responsibilities while maintaining oversight
Ensure timely delivery of results for Architects and Power BI specialists
Drive maturity in SDL by establishing methods, promoting best practices, and fostering continuous improvement
Optimize testing processes—knowing when, where, and how to test for maximum effectiveness
Explore and implement GenAI capabilities to enhance SDL, including automated test environments and intelligent development support