Mgr. Software Engineering

Why UKG:

At UKG, the work you do matters. The code you ship, the decisions you make, and the care you show a customer all add up to real impact. Today, tens of millions of workers start and end their days with our workforce operating platform. Helping people get paid, grow in their careers, and shape the future of their industries. That's what we do.

We never stop learning. We never stop challenging the norm. We push for better, and we celebrate the wins along the way. Here, you'll get flexibility that's real, benefits you can count on, and a team that succeeds together. Because at UKG, your work matters-and so do you

About the Role
We are hiring a Manager, Software Engineering to lead the Engineering Data Team, a group responsible for building and operating critical data pipelines, internal platforms, and reporting tools that support engineering, product operations, and leadership decision-making across UKG.
The manager will be both people leader and technical leader, with hands-on responsibility for shaping technical direction, reviewing designs and architecture, and actively participating in code and pull request reviews while driving execution against a defined roadmap. The ideal candidate is comfortable operating in an environment with high ownership, shared infrastructure, and complex stakeholder integrations, and can progressively grow from execution-focused delivery to stronger stakeholder partnership and demand shaping.
This role requires a technically strong manager who can engage directly with stakeholders to define metrics and reporting needs, translate them into data and pipeline changes, and lead a team that leverages modern tools - including AI - to deliver high-impact outcomes efficiently.

Key Responsibilities

Technical & Delivery Leadership
• Own the technical direction and delivery of Engineering Data team's applications, data pipelines, APIs, and BI reporting solutions.
• Review and approve architecture designs, UX/UI designs, technical proposals, and pull requests, ensuring high standards for usability, reliability, scalability, and maintainability.
• Partner with engineers to improve system quality, operational health, and performance, with a strong focus on reducing KTLO overhead.
• Champion the use of AI-assisted development and analytics tools to improve engineering productivity, accelerate delivery, and reduce operational overhead across the team.
• Ensure the team maintains ownership of shared applications and tools built on common infrastructure.

Execution & Outcomes
• Drive measurable outcomes across the team's core priorities:
o Reduce time spent on KTLO through improved tooling, automation, and architectural improvements.
o Build and evolve dashboards for developer productivity metrics, enabling data-driven insights for engineering leadership.
o Enhance and extend the Engineering Roster, improving usability, reliability, and integration with downstream systems.
o Rebuild and scale team capacity, including onboarding, knowledge transfer, and role clarity.
o Lead the end-to-end reporting lifecycle - working with stakeholders to define meaningful metrics, determining required data sources and transformations, and driving changes to data pipelines, models, and tooling to support accurate and reliable reporting.
• Plan and deliver work through sprints with predictable execution, balancing new feature development with operational commitments.

People Management & Team Health
• Manage, coach, and develop a growing team of data and software engineers.
• Set clear expectations around roles, ownership, and technical standards.
• Support skill development across data engineering, web applications, APIs, and BI/reporting capabilities.
• Coach and enable engineers to effectively use AI tools for development, analysis, testing, and documentation, establishing best practices and guardrails to ensure quality and security.
• Create an environment that promotes accountability, continuous improvement, and sustainable delivery.

Stakeholder Collaboration
• Partner immediately with stakeholders across Engineering, Product Operations, and Leadership to understand reporting needs, define success metrics, and translate business questions into actionable data and dashboards.
• Over time, evolve from execution partner to trusted advisor, influencing prioritization, scope decisions, and data strategy based on stakeholder needs and system constraints.
• Help stakeholders clarify problems, evaluate tradeoffs, and determine which enhancements should - and should not - be built.
• Represent the Engineering Data team in planning, prioritization, and technical discussions.
Technologies & Domains You'll Work With
• Programming & Frameworks: Python and JavaScript with strong object-oriented programming fundamentals, REST APIs, and modern web frameworks
• Nice to Have: Experience with d3.js for custom web-based data visualizations and reporting
• Data & Platforms: Data pipelines, ETL, BI reporting, dashboards, and strong SQL expertise for data analysis, modeling, and reporting