AI-Enabled Hire-to-Retire Value Chain Engineer

HP

Spring (TX)

On-site

USD 131,000 - 205,000

Full time

14 days+

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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Disability insurance
Employee assistance program
Flexible spending account
Parental leave
Paid holidays

Job summary

HP is seeking a Value Chain Process Engineer for Hire-to-Retire to shape transformation agendas across the employee lifecycle by combining process excellence, digital capability, and industry benchmarking to define best-in-class HR processes.

The role partners with HR, Digital and business leaders to advise on strategic investments, driving a process-led, AI-enabled organization and redesigning workflows across the full employee lifecycle with a focus on intelligent automation and governance.

Qualifications

  • Bachelor’s degree required; MBA or advanced degree preferred.
  • 10+ years leading Human Resources organizations and broad HR transformation experience.
  • Proven ability to redesign workflows and drive automation/AI initiatives.

Responsibilities

  • Intelligent workforce workflow redesign and AI augmentation of HR processes.
  • Eliminate waste and simplify complex Hire-to-Retire workflows.
  • Standardize HR processes globally before automation or AI deployment.
  • Define AI deployment where it meaningfully improves HR outcomes.
  • Develop deep Hire-to-Retire expertise across lifecycle areas.
  • Partner with Global Process Owners and HR leadership on governance.

Skills

Workflow redesign
AI integration
Process excellence
Stakeholder leadership

Education

Bachelor's degree
MBA or advanced degree

Tools

HR platforms

Job description

HP is seeking a Value Chain Process Engineer for Hire-to-Retire to shape transformation agendas across the employee lifecycle by combining process excellence, digital capability, and industry benchmarking to define best-in-class HR processes.

The role partners with HR, Digital and business leaders to advise on strategic investments, driving a process-led, AI-enabled organization and redesigning workflows across the full employee lifecycle with a focus on intelligent automation and governance.

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