UKG WFM Pro Lead Analyst with (Sage ERP implementation, AI/ML and API Developement)

Overview

Remote
Depends on Experience
Contract - W2
Contract - 6 Month(s)

Skills

UKG WFM Pro
Kronos Workforce
API integration
Artificial Intelligence
Machine Learning (ML)
Middleware
Sage
WFM
Workforce Management
Enterprise Resource Planning

Job Details

UKG Workforce Management (WFM) Lead Analyst including AI/ML programs and Sage Implementations (OR) similar ERP/time solutions 100% Remote Work 4+ Months Contract Position


The UKG WFM Pro Lead Analyst will play a key role in delivering critical MyTime Projects in FY2025. This role will focus on leading integrations between UKG WFM Pro (UKG Pro) and internal/external systems, supporting the design and implementation of new solutions, and ensuring seamless data flows that power enterprise initiatives, including AI/ML programs and Sage. The Lead Analyst will act as both a technical consultant and solution designer, collaborating closely with business stakeholders, vendors, and technology teams to deliver scalable, secure, and future-ready solutions.

  • This person will need to have strong leadership skills and be able to dive right in with minimal instruction and direction.
  • This role falls within Associate Technology and reports to Engineering Manager - MyTime, ELMS, Azure HR
  • Proven expertise in UKG WFM Pro (UKG Pro) with hands-on functional and technical experience
  • Experience working with Azure/Databricks or similar middleware/integration platforms
  • Exposure to AI/ML initiatives, particularly integration WFM/HR data into advanced analytics pipelines. Expertise preferred
  • UKG certifications in Workforce Management (WFM Pro)
  • Experience delivering Sage implementations or similar ERP/time solutions
  • Lead integration efforts to connect UKG WFM Pro with internal and external systems, ensuring scalable and secure API solutions
  • Partner with UKG, IBM, and stakeholders to design, review, and approve system integrations, including Sage implementation
  • Provide expert guidance on UKG/s API capabilities and best practices, performing fit-gap analysis to recommend solutions
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