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# Workforce Software Resource - Dearborn, MI - Onsite

- **Company:** Momento USA LLC
- **Location:** Dearborn, MI, United States
- **Experience:** Expert
- **Salary:** $250,000.0
- **Contract:** Temporary to permanent
- **Skills:** Application Programming Interfaces (APIs), Agile Methodology, JIRA, BigQuery, Cloud Database, System Configuration, Information Engineering, Data Integration, Data Integrity, Extract Transform Load (ETL), SuccessFactors, Rule Engine, Service Pack, Simple Object Access Protocol (SOAP), SQL Databases, Data Streaming, Systems Architecture, Systems Integration, Time Tracking Software, Extensible Markup Language (XML), Kronos, Google Cloud, Sql Optimization, HR Software, Ceridian Dayforce, Information Technology, Data Management, Api Management
- **Published:** June 11, 2026
- **Apply:** https://www.careerjet.com/jobad/us2654eacd21e3b789f0736eddbed037b1

## About the Role

Note: This is a hands-on technical role. Candidates must have experience in back-end system configuration and data management. Functional project managers without configuration experience will not be considered. Must have hands-on WorkForce Software configuration experience (no functional-only profiles), WFM Platform Configuration: Hands-on experience configuring enterprise workforce management software (e.g., WorkForce Software (preferred), UKG/Kronos, Ceridian Dayforce, or SAP SuccessFactors). Data Engineering: Advanced SQL skills and experience building/maintaining ETL pipelines. Systems Integration: Proven ability to manage data exchanges via APIs, flat files, and XML. Technical Analysis: Ability to bridge the gap between complex business requirements and technical system architecture. Agile Methodology: Experience working in an Agile/Jira environment.
Skills Preferred:
System Configuration: Assist with technical build and "under-the-hood" configuration of Time & Attendance, Scheduling, and Absence Management modules. Data & Integration Engineering: Design and maintain ETL pipelines and API integrations (REST/SOAP) to ensure seamless data flow between the WFM platform and Ford s internal ecosystem. Rule Engine Development: Translate complex union contracts, labor laws, and manufacturing work rules into precise system logic and automated calculations. Platform Governance: Manage system health, security roles, and environment stability. Lead the technical validation of software patches and version upgrades. Advanced Analytics: Use SQL and data modeling to build complex reports, identifying trends in labor costs, compliance risks, and operational efficiency.
Experience Required:
Experience Required: 10+ years of IT experience supporting complex, large-scale enterprise programs. WFM Expertise: Direct experience configuring and administering a major Workforce Management platform for a large-scale population (10,000+ employees). Data Background: Strong track record of managing data integrity and integrations for HR or Payroll-related systems. Manufacturing/Union Context: Experience navigating the complexities of union work rules, rotating shifts, and plant-based scheduling. Regulatory Knowledge: Familiarity with US/Canadian labor regulations (FLSA, provincial laws) and their technical application in timekeeping.
Experience Preferred:
Direct experience with WorkForce Software (WFS) Experience with cloud-based data tools (Google Cloud Platform, BigQuery, etc.). Background in automotive or high-volume industrial environments.
Education Required:
Bachelor's Degree
Key Responsibilities: System Configuration: Assist with technical build and "under-the-hood" configuration of Time & Attendance, Scheduling, and Absence Management modules. Data & Integration Engineering: Design and maintain ETL pipelines and API integrations (REST/SOAP) to ensure seamless data flow between the WFM platform and Ford s internal ecosystem. Rule Engine Development: Translate complex union contracts, labor laws, and manufacturing work rules into precise system logic and automated calculations. Platform Governance: Manage system health, security roles, and environment stability. Lead the technical validation of software patches and version upgrades. Advanced Analytics: Use SQL and data modeling to build complex reports, identifying trends in labor costs, compliance risks, and operational efficiency.

## Description

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