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CadillacPosted 1 month ago

Sr. Workday Integrations Configurator - HR IT

HybridAustin, Texas, United States or Warren, Michigan, United States

Full TimeSenior LevelBachelors DegreeMediumTRANSPORTATION

Job Summary

Design, configure, and test Workday integrations using EIB, Core Connectors, Cloud Connect, and Studio while collaborating with HR, IT, and business stakeholders to translate requirements into technical specifications. Develop detailed documentation for integration processes, troubleshoot complex scenarios, and perform root cause analysis to ensure data accuracy and system stability. Participate in the full software development life cycle, including design, development, testing, deployment, and ongoing support of Workday integrations. Stay current with Workday updates to assess impacts and recommend adjustments. This hybrid role requires reporting to a specific location at least three times weekly.

Required Qualifications

  • 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 experience in building and debugging Workday Integrations including EIB, Connectors (PECI, WECI, CCW etc.) and Workday Studio, and creating Workday custom reports, calculated fields and XSLTs
  • Demonstrated experience with Computer Program Design Techniques for building scalable and maintainable integration solutions
  • Demonstrated integration experience in Human Resources related domains (Onboarding/Offboarding, Payroll, Benefits, Timekeeping, etc.)
  • Experience in creating detailed system interface specifications, field mapping, and system process designs
  • Strong knowledge of Cloud Computing, Web Services (SOAP & RESTFul) and integration patterns
  • Proven ability in determining IT system requirements to effectively translate business needs into technical specifications for Workday integrations
  • Hands-on experience with Product Configurators, specifically within the Workday platform (e.g., configuring integration templates, business process frameworks)
  • Strong understanding of Workday's data model and security framework
  • Excellent communication and interpersonal skills to collaborate effectively with diverse teams
  • Basic understanding of Artificial Intelligence (AI) and Machine Learning (ML) concepts, including general awareness of how models are developed and used
  • Some exposure to integrating AI capabilities into enterprise platforms, such as automation, simple analytics, or user-facing features
  • General awareness of data quality, governance, and responsible AI practices, including privacy and security considerations
  • Interest in applying AI to improve workflows, productivity, or platform operations, with the ability to identify practical opportunities for adoption
  • This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}
  • GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc)

Desired Qualifications

  • Familiarity with Web Programming Languages (e.g., JavaScript, Python) for advanced integration scenarios and API interactions is a plus
  • Hands-on experience with Workday Extend Workday Pro Certification (Integrations) is highly desired
  • Hands-on experience with Java programming language
  • Experience in technology modernization and AI adoption initiatives
  • Exposure to using AI capabilities with Workday gives a competitive advantage
  • Familiarity with common AI tools or platforms, including cloud-based services or emerging technologies, is preferred

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