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Lean and Automation Engineer

|  Posted On: Oct 26, 2026

location:Davie, FL 33314

Duration:5 Months, Contract

mode of work:On-site

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Job Summary

Job Title:  
Lean and Automation Engineer
Posted Date:  
Oct 26, 2026
Duration:  
5 Months, Contract
Shift(s):  
  • 08:00 - 17:00
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Talk to our Recruiter

Name:
 
Rajgurusingh Azad

Email:
 
Rajgurusingh@rangam.com

Phone:
 
650-720-4087

Description

Job Title: Lean and Automation Engineer

Location: US-FL-Davie

Shift Schedule: Standard working hours of 8:00 AM to 5:00 PM

Employment type: Full-time.

Although we are accepting candidates from out of state, the candidates must be willing to travel to the site location for their interview.

Required Core Essential Skill Set:

  • Master's degree in industrial, manufacturing, mechanical engineering, or a related technical discipline is required.
  • Lean Manufacturing, DMAIC, Value Stream Mapping, SMED, OEE improvement, statistical analysis, Root Cause Analysis, and hands-on process analysis.
  • Ability to identify opportunities, develop business cases, quantify benefits, and build practical workflows, dashboards, or data tools.
  • Strong project ownership and effective cross-functional execution within GMP, data-integrity, safety, and quality requirements.
  • Looking for a candidate with deeper manufacturing automation and continuous improvement execution experience who can independently identify, drive, and implement larger-scale opportunities.

Preferred Experience:

  • Lean Six Sigma Black Belt; strong Green Belts with proven hands-on delivery considered. A practical project example will be discussed on site.
  • Power BI, Power Automate, advanced Excel, SQL, SAP, MES/EBR, and historian or manufacturing analytics platforms.
  • Experience applying modern analytics and AI-enabled tools to improve operational reliability and performance.
  • Self-starter with strong analytical, troubleshooting, systems-thinking, communication, documentation, and compliance skills.
  • Ability to challenge historical practices and carry an approved idea through build, training, implementation, handoff, and sustainment.

Job Summary

  • We're looking for a hands-on Continuous Improvement & Automation Engineer who identifies, assesses, builds, and implements solutions that reduce waste and improve manufacturing performance - not a facilitator or meeting coordinator.
  • You will personally bring approved projects to life through analysis, solution development, automation build, training, implementation, and sustainment.
  • Success is measured by high-quality opportunities identified, approved projects implemented, Finance-validated benefits delivered, and compliant results sustained.
  • This role offers meaningful ownership and impact in a regulated Oral Solid Dosage environment.

Key Responsibilities

  • Personally perform process studies, time studies, waste assessments, and bottleneck analysis to identify improvement and automation opportunities.
  • Develop evidence-based opportunity assessments covering the baseline, expected operational and financial benefit, implementation needs, cost, risk, timing, and sustainment approach.
  • Present opportunities to the Site Leadership Team (SLT) for prioritization, approval, and sponsorship; project priority and resource commitment remain with the SLT.
  • Own approved projects from analysis through solution build, training, implementation, benefit realization, and sustainment, working with Operations, Finance, Quality, Engineering, and IT/OT as required.
  • Develop and deploy practical digital and analytics tools, including Power BI dashboards, Power Automate workflows, and electronic data collection, to eliminate non-value-added work.
  • Improve OEE, cleaning and changeover/setup time, labor productivity, throughput, and capacity across manufacturing, laboratories, offices, and warehouse operations.
  • Partner with Finance to classify and validate benefits consistently, maintain one agreed view of project value, and prevent duplicate reporting or double counting.
  • Establish process ownership, standard work, training, controls, documentation, and performance tracking before project closure.
  • Ensure all improvements comply with GMP, data integrity, safety, quality, change-control, and validation requirements in an FDA-regulated environment.

Experience:

  • 2-3 years of pharmaceutical industry experience is required, including at least 2 years supporting Oral Solid Dosage (OSD) or tableting/compression operations.
  • Demonstrated completion of waste-reduction or automation projects with the candidate as the primary executor, not a coordinator.

 

Experience can be more heavily focused on either physical automation/robotics or AI/digitalization, as the team is open to building a diverse mix of capabilities across the group.

  • Beyond the technical experience, there is a strong emphasis on problem-solving, critical thinking, and the ability to independently drive change.
  • They are looking for individuals who can identify opportunities for improvement, challenge existing processes, develop potential solutions, and ultimately lead projects and coach others through implementation.
  • During the interview exercises, candidates may be asked to review scenarios or visual examples and share their observations. The team is looking for candidates who can go beyond the immediately visible information by identifying potential issues, making thoughtful assumptions, explaining their reasoning, and suggesting possible solutions or additional opportunities.
  • We understand that this is a specialized skill set and that the candidate pool in the Davie, FL area may be more limited.
  • The hiring team is willing to take the time needed to identify the right candidates, so please continue sourcing and sending individuals who closely align with the above requirements.
AI-Assisted Application Screening

As part of our recruitment process, we may use automated tools or AI-enabled technologies to assist with resume screening and candidate matching. These tools help our recruitment team review applications more efficiently, but they do not make hiring decisions. All final decisions are made by human reviewers.