Jobs · Management · California

Continuous Improvement Specialist

Actalent · Irvine, CA · Today
On-siteManagement$50/hrContract

About the role

A leading organization in the medical device industry is seeking a Continuous Improvement Specialist to drive operational excellence across manufacturing and business operations.

Responsibilities

  • Support assigned product lines and functional groups in achieving their operational performance objectives.
  • Participate in KPI review meetings with Product Line Leaders and department leadership to assess performance and identify improvement opportunities.
  • Analyze operational and manufacturing data to identify bottlenecks, inefficiencies, and performance gaps.
  • Conduct statistical analysis and root cause investigations to develop corrective actions and process improvements.
  • Facilitate continuous improvement initiatives ranging from focused improvement activities and smaller kaizen events to larger cross-functional improvement projects.
  • Partner with Operations, Quality, Laboratory, Manufacturing Engineering, and other support organizations to drive sustainable process improvements.
  • Monitor and measure improvement initiatives to ensure long-term effectiveness and alignment with business objectives.
  • Communicate project updates, findings, and recommendations clearly and effectively to stakeholders at multiple levels of the organization.
  • Utilize SAP and other systems to gather, interpret, and report operational and manufacturing performance data.
  • Perform time studies and analyze manufacturing processes to identify opportunities for process improvement and efficiency gains.
  • Support the management and reduction of nonconforming product through analysis of nonconformance reports and quality data.
  • Assist in the development, documentation, and standardization of improved processes and work practices.

Requirements

  • Bachelor's Degree in Engineering, Industrial Engineering, Manufacturing Engineering, Life Sciences, Mechanical Engineering, or another technical discipline.
  • 3–5 years of professional experience in manufacturing, process improvement, operational excellence, continuous improvement, industrial engineering, manufacturing engineering, or a related field.
  • Experience analyzing manufacturing or operational performance data and identifying opportunities for improvement.
  • Strong problem-solving and analytical skills with the ability to perform root cause analysis and implement corrective actions.
  • Experience working within cross-functional teams in a manufacturing environment.
  • Effective communication and project coordination skills, with the ability to present findings and recommendations to stakeholders.
  • Hands-on experience with Lean manufacturing, continuous improvement, or operational excellence initiatives.
  • Experience with Six Sigma tools and methodologies, preferably at a Green Belt level or equivalent.
  • Proficiency in data analysis, including the use of Excel pivot tables and other analytical tools.
  • Experience working in medical device, pharmaceutical, life sciences, or other regulated manufacturing environments.
  • Familiarity with SAP or similar enterprise systems used in manufacturing operations.
  • Experience supporting high-volume manufacturing operations and understanding of associated challenges.
  • Knowledge of process engineering or manufacturing engineering principles applied in a production environment.

Qualifications

  • Experience within medical device, pharmaceutical, life sciences, or other regulated manufacturing environments.
  • Exposure to Lean Manufacturing, Continuous Improvement, Operational Excellence, and related methodologies.
  • Experience facilitating or actively participating in kaizen events and structured process improvement initiatives.
  • Background in medical device or pharmaceutical manufacturing processes and quality requirements.
  • Hands-on experience with Six Sigma tools and approaches, including Green Belt-level projects.
  • Familiarity with time studies and work measurement techniques to assess and improve productivity.
  • Experience working with automated or semi-automated production environments.
  • Knowledge of statistical analysis tools and process performance metrics used to monitor and control manufacturing processes.
  • Experience working with nonconforming product data and nonconformance reports to drive quality improvements.
  • Understanding of key performance indicators (KPIs) related to safety, quality, delivery, and cost, and how to influence them through process improvements.
  • Ability to collaborate with quality, operations, engineering, and laboratory teams to align improvement initiatives with regulatory and quality standards.

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