General Motors
Sr. Workday Integrations Configurator - HR IT
Warren, Michigan, United States of America +1 · Hybrid · Senior · Full-time · Posted Jul 6, 2026
- Location
- Warren, Michigan, United States of America
Austin, Texas, United States of America - Experience
- 5+ years of HR Technology experience; 3-5 years of recent hands-on Workday integrations experience.
- Education
- Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
- Visa sponsorship
- GM does not provide immigration-related sponsorship for this role, now or in the future.
About the job
Designs, configures, tests, and supports Workday integrations that connect HR and business systems.
What you'll do
- Design, configure, test, and maintain Workday integrations and related documentation.
- Gather integration requirements and translate them into technical specifications with HR, IT, and business stakeholders.
- Troubleshoot integration issues, assess Workday updates, and support integrations throughout the software development life cycle.
What they ask for
- Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.
- 5+ years of HR Technology experience (SAP, PeopleSoft, Workday).
- 3-5 years of recent hands-on Workday integration experience, including building and debugging integrations, custom reports, calculated fields, and XSLTs.
- Experience with HR-related integrations, system interface specifications, field mapping, system process designs, cloud computing, web services, and Workday configuration.
Nice to have
- Hands-on experience with Workday Extend; Workday Pro Certification (Integrations) is highly desired.
- Hands-on Java experience; experience in technology modernization and AI adoption initiatives.
Tools
Workday, EIB, Core Connectors, Cloud Connect, Studio, PECI, WECI, CCW
AI focus
Basic AI and machine learning awareness, exposure to integrating AI capabilities into enterprise platforms, and interest in applying AI to workflows, productivity, or platform operations; awareness of responsible AI practices.
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