Strategic Process Improvement Analyst (Lean Six Sigma)

Jackson Health System; Miami (FL); On-site; USD 70,000 - 95,000; Full time

Job summary

Jackson Health System is seeking a Process Improvement Analyst to drive Lean Six Sigma initiatives across clinical and administrative operations, delivering measurable performance gains and providing project management support to the department. The role blends hands-on improvement work with the administrative discipline needed to sustain a high‑performing team.

The position involves leading process mapping, Kaizen events, and data-driven analyses to identify waste and redesign workflows.

Qualifications

• 2+ years of experience in administrative, project coordination, or operational support roles.
• Lean Six Sigma Yellow or Green Belt is required; PMP certification preferred.
• Bachelor's degree in Industrial Engineering, Business Administration, Data Analytics, or related field.

Responsibilities

• Drive process improvement and continuous improvement initiatives across clinical and administrative operations.
• Lead or co-lead process mapping and workflow analysis sessions to identify inefficiencies, waste, bottlenecks.
• Facilitate Kaizen events and continuous improvement workshops with cross-functional teams.
• Document SOPs, process maps, and control plans to sustain improvements.
• Coordinate project meetings, track milestones, and maintain project documentation in PMO systems.

Skills

Lean Six Sigma

Project Management

Data analysis

Education

Bachelor's degree in Industrial Engineering, Business Administration, Data Analytics

Tools

PMO tools

Job description

Jackson Health System is seeking a Process Improvement Analyst to drive Lean Six Sigma initiatives across clinical and administrative operations, delivering measurable performance gains and providing project management support to the department. The role blends hands-on improvement work with the administrative discipline needed to sustain a high‑performing team.

The position involves leading process mapping, Kaizen events, and data-driven analyses to identify waste and redesign workflows.