WFM Solutions Architect – UKG & Forecasting Expert

CVS Health

Rhode Island

Hybrid

USD 107,000 - 284,000

Full time

8 days ago

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Job summary

CVS Health is seeking a seasoned Workforce Management Techno-Functional Expert to lead the design and delivery of enterprise-grade scheduling and labor forecasting capabilities. You will partner with business stakeholders, product, engineering, and vendors to translate requirements into scalable, well-governed solutions.

The ideal candidate brings deep hands-on expertise configuring and optimizing WFM platforms (Infor, UKG, Legion), strong understanding of forecasting and scheduling concepts,

Qualifications

  • 7+ years delivering Workforce Management solutions across forecasting, staffing and scheduling.
  • 7+ years configuring, debugging and optimizing WFM scheduling constructs and forecasting inputs.
  • 5+ years with enterprise WFM platforms such as Infor WFM/Workbrain, UKG or Legion.
  • 3+ years partnering with SaaS vendors to deliver business outcomes.
  • 3+ years in Agile environments with change management and vendor negotiation.
  • 3+ years driving stakeholder leadership and strong communication.

Responsibilities

  • Lead design of forecasting workflows and scheduling patterns to meet demand and staffing needs.
  • Translate business requirements into configuration plans with vendors and engineering partners.
  • Own end-to-end functional delivery, including enhancements, defects and releases.
  • Define reporting needs and analytics with dashboards for forecasting accuracy and adherence.

Skills

Workforce Mgmt
Forecasting
Scheduling
WFM Platforms
Stakeholder Leadership
Agile
Communication
Analytics

Education

Bachelor's degree

Tools

Infor WFM/Workbrain
UKG
Legion
Jira

Job description

CVS Health is seeking a seasoned Workforce Management Techno-Functional Expert to lead the design and delivery of enterprise-grade scheduling and labor forecasting capabilities. You will partner with business stakeholders, product, engineering, and vendors to translate requirements into scalable, well-governed solutions.

The ideal candidate brings deep hands-on expertise configuring and optimizing WFM platforms (Infor, UKG, Legion), strong understanding of forecasting and scheduling concepts,

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