Manager, Workforce Systems

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A Brief Overview
The Workforce Systems Manager serves as the primary functional and business owner the UKG Workforce Management (WFM) system and serves as the labor management subject matter expert (SME). This role is responsible for designing, configuring, managing, and optimizing how UKG is used to translate workforce planning and capacity strategies into executable forecasts, labor demand models, and schedules that support operational performance. This role has a strategic mix of technical, analytical, and operations expertise.

Sitting within the Operations organization, this role partners closely with Workforce Capacity, Field Leadership, Finance, and Technology teams to ensure the UKG WFM solution supports both near‑term execution and longer‑term workforce capability maturity. The WFM Manager leads functional design and day‑to‑day administration of UKG labor and scheduling capabilities, while collaborating with IT and Operations partners on platform, integration, and technical enablement.
This position focuses exclusively on workforce modules and capabilities (including, but not limited to: forecasting, labor standards, labor demand, advanced scheduling, staff optimization, etc.).


What you will do

• Serve as the functional and operational owner of the UKG Workforce Management platform in workforce forecasting, labor demand modeling, advanced scheduling, reporting, and optimization. Act as the primary operations liaison to IT and technical teams, providing business requirements, participating in testing, and validating enhancements, integrations, and changes

• Design, configure, and maintain end-to-end workforce inputs, parameters, and scheduling logic within UKG that align with operational needs and service targets. Ensure labor standards, rule sets, and other data inputs are accurate and maintained.

• Monitor WFM performance and outcomes, identifying continuous improvement opportunities across forecasting accuracy, schedule effectiveness, and workforce utilization. Configure and enhance automation and optimization features.

• Develop and optimize scheduling strategies and capabilities that balance service delivery, productivity, workforce availability, and cost through automation and artificial intelligence.

• Translate workforce planning and capacity management strategies into executable UKG configurations and schedules, ensuring alignment between long‑range planning and daily operations.

• Partner closely with Operations leaders to understand workflows, constraints, and execution challenges, ensuring solutions are operationally practical and scalable. Provide training, documentation, and change management for operational teams.

• Performs other duties as assigned

• Complies with all policies and standards

What you will need

• Bachelor's Degree Business, Operations, Management, Industrial Engineering, or related quantitative field or equivalent Required

• Master's Degree Industrial Engineering, Operations Management, Analytics, or related quantitative field Preferred

• 7-9 years Relevant workforce management experience, with a strong emphasis on forecasting, labor planning, and advanced scheduling Required

• 1-3 years Proven hands‑on UKG Workforce Management experience, including functional configuration and scheduling Required

• Proven experience designing and managing labor standards, demand models, and advanced schedules Required

• Prior involvement in UKG implementations, enhancements, or optimization initiatives strongly preferred Preferred

• Experience supporting field‑based, multi‑site, or high‑volume operational environments preferred Preferred

• Demonstrated ability to bridge strategic workforce planning and day‑to‑day operational execution Preferred

• Experience partnering with IT, Workforce Planning, Operations, and Finance in a matrixed environment Preferred

• Prior experience managing people or a team Preferred

• Deep functional knowledge of UKG Workforce Management capabilities Required

• Strong understanding of workforce forecasting concepts, capacity planning, labor productivity, and service‑level driven scheduling

• Analytical mindset with the ability to translate complex workforce models into usable operational outputs

• Experience w