Digital Forensics Process Optimization Lead

Parsons

United States

On-site

USD 88,000 - 155,000

Full time

5 days ago
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Benefits offered by this job

Health benefits
401(k)
Paid time off

Job summary

Parsons is seeking a Digital Forensics Process Improvement Specialist to analyze CFL processes and develop data-driven recommendations to improve efficiency, quality, and performance across digital-forensics operations.

You will identify bottlenecks, propose corrective actions, and collaborate with a multidisciplinary team to implement improvements, define performance measures, and maintain documentation.

Qualifications

  • Active Secret clearance required or ability to obtain.
  • Bachelor’s degree in a related field or four years of experience sustituing the degree.
  • Minimum eight years in process-improvement or related field.
  • Experience with digital-forensics techniques and processes.
  • Ability to identify bottlenecks, delays, rework, and control weaknesses.
  • Experience developing corrective actions and supporting implementation.
  • Strong analytical, organizational and collaboration skills.
  • Ability to define performance measures and use data for decisions.

Responsibilities

  • Identify bottlenecks, delays, duplicative activities, handoffs, and control weaknesses across CFL processes.
  • Develop corrective and preventive action recommendations to address inefficiencies.
  • Identify opportunities for standardization, automation, and clearer roles.
  • Work with the team to implement approved process improvements.
  • Define and refine operational performance measures.
  • Develop trend analyses, workload projections, and scenario options.
  • Collaborate to implement data-driven process improvements.
  • Evaluate results and recommend further actions as needed.
  • Support process documentation, workflow maps, and performance reports.
  • Promote continuous improvement and accountability across CFL activities.

Skills

Active Secret clearance
Process-improvement
Analytical skills
Communication
Collaboration
Data-driven decision making
Scenario planning
Independence

Education

Bachelor’s degree in Digital Forensics
Bachelor’s degree in Computer Science
Bachelor’s degree in Cybersecurity
Bachelor’s degree in Information Technology
Bachelor’s degree in Criminal Justice

Job description

Parsons is seeking a Digital Forensics Process Improvement Specialist to analyze CFL processes and develop data-driven recommendations to improve efficiency, quality, and performance across digital-forensics operations.

You will identify bottlenecks, propose corrective actions, and collaborate with a multidisciplinary team to implement improvements, define performance measures, and maintain documentation.

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