About the role

  • Enterprise Data Process Engineer at Capgemini improving technical processes in government contracting. Analyzing workflows, collaborating with technical teams and stakeholders in regulated environments.

Responsibilities

  • Analyze, document, and improve business and technical processes
  • Evaluate end‑to‑end workflows within complex enterprise and data environments
  • Review technical deliverables to verify compliance with Statements of Work (SOWs)
  • Support continuous process improvement efforts
  • Collaborate with cross‑functional technical teams and government stakeholders

Requirements

  • U.S. Citizenship is required
  • Eligible to obtain and maintain a Government Security Clearance
  • Master’s degree or higher in data science, statistics, computer science, economics, mathematics, information systems, or similar field preferred or additional equivalent experience
  • Minimum of 8 years of progressive professional experience with data science, AI/ML, or deep learning delivery responsibilities

Benefits

  • Paid time off
  • Medical/dental/vision insurance
  • 401(k)

Job title

Enterprise Process Engineer

Job type

Experience level

SeniorLead

Salary

$120,000 - $155,000 per year

Degree requirement

Postgraduate Degree

Location requirements

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