Workday Solutions Engineer: AI-Driven HR Automation

Machine Intelligence Technologies, LLC

Santa Clara, Northern (CA, KY)

Hybrid

USD 140,000 - 190,000

Full time

3 days ago
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Job summary

Machine Intelligence Technologies LLC is seeking a Workday Solutions Engineer, People Technology, to optimize and maintain our Workday ecosystem. You will drive configurations for HCM, Recruiting, and Time Off/Absence, while enabling AI-enabled solutions across our global People organization.

You’ll partner with the People Operations teams to design tech that supports evolving delivery models, driving AI and automation adoption and enhancing data-driven decision making.

Qualifications

  • 5+ years in HR Operations/HRIS or People Technology with Workday configuration experience in a global environment.
  • Expertise in Workday HCM, Recruiting, Dashboards, and Time Off/Absence Management.
  • Strong technical ability to build analyses, models, and automations in spreadsheets.

Responsibilities

  • Drive hands-on Workday configuration, enhancements, and optimization across HCM, Recruiting, Dashboards, and Absence Management.
  • Enable AI-integrated solutions using Workday Extend and external tools.
  • Champion AI-first HR tech initiatives and deliver innovative employee experiences.
  • Develop and maintain metrics and dashboards in Workday and Tableau for insights.
  • Provide proactive, consultative support to the People team and wider organization.

Skills

Workday configuration
HCM & core HCM
AI & automation
Data analytics
Excel/Google Sheets

Education

HR/People Tech related degree

Tools

Workday Extend
Tableau

Job description

Machine Intelligence Technologies LLC is seeking a Workday Solutions Engineer, People Technology, to optimize and maintain our Workday ecosystem. You will drive configurations for HCM, Recruiting, and Time Off/Absence, while enabling AI-enabled solutions across our global People organization.

You’ll partner with the People Operations teams to design tech that supports evolving delivery models, driving AI and automation adoption and enhancing data-driven decision making.

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