Remote Lean Six Sigma Process Improvement Specialist

centene; United States; On-site; USD 70,000 - 126,000; Full time

Job summary

Centene is seeking a seasoned specialist to lead enterprise-wide process improvement initiatives using LEAN/Six Sigma and PDSA methods. The role emphasizes healthcare process optimization and cross-functional collaboration.

Remote-friendly, with a typical 8am-5pm schedule in the US; a Six Sigma Green Belt and healthcare experience are highly valued. Strong data-driven decision-making is required.

Qualifications

• Bachelor's degree in related field or equivalent experience.
• 4+ years of LEAN, Six Sigma or similar process improvement experience within the healthcare industry preferred.
• Working knowledge of process mapping, statistical applications and project management software.

Responsibilities

• Identify and implement enterprise-wide process improvement activities utilizing LEAN/Six Sigma, PDSA or similar methodologies.
• Support development, prioritization and execution of performance improvement projects.
• Assist with implementation and training of functional areas regarding process engineering maintenance plans and staff trainings.
• Collect, monitor and evaluate project KPIs and develop status reports.
• Facilitate cross-functional improvement teams following DMAIC roadmap.
• Communicate gaps in process designs and implementations to upper management.
• Performs other duties as assigned.

Skills

Lean Six Sigma

DMAIC

Process improvement

PDSA

Project management software

Education

Bachelor's degree or equivalent experience

4+ years healthcare LEAN/Six Sigma

Tools

Statistical software

Process mapping tools

Job description

Centene is seeking a seasoned specialist to lead enterprise-wide process improvement initiatives using LEAN/Six Sigma and PDSA methods. The role emphasizes healthcare process optimization and cross-functional collaboration.

Remote-friendly, with a typical 8am-5pm schedule in the US; a Six Sigma Green Belt and healthcare experience are highly valued. Strong data-driven decision-making is required.