Sr Eng Process Engineering

Johnson & Johnson•Memphis, TN
•Onsite

About The Position

Johnson & Johnson is seeking a Process Engineer & Continuous Improvement Lead for its MedTech site in Memphis, Tennessee. The role leads operational efficiency and productivity initiatives across the facility and serves as the site champion for Lean, Six Sigma, and continuous improvement. In partnership with Operations, Quality, Engineering, Inventory Management, Transportation, 3PL providers, and other organizations, the position improves safety, service, quality, productivity, compliance, and cost performance. The role identifies improvement opportunities, leads cross-functional projects, develops site performance metrics, and promotes a culture of continuous improvement. It is accountable for measurable business results while maintaining healthcare, GMP, SOX, and regulatory compliance, including GxP, FDA, and ISO requirements. The position also coordinates and optimizes findings from other Deliver and Make sites and provides day-to-day mentorship and longer-term strategic direction within its scope. The role may require up to 15% domestic and international travel.

Requirements

  • Bachelor's degree in mechanical, industrial, or electrical engineering, or an equivalent field.
  • At least 4 years of relevant experience supporting a warehousing or manufacturing environment.
  • Lean Six Sigma Green Belt certification.
  • At least 3 years managing Lean/Six Sigma projects with demonstrated business impact.
  • Project management experience, including control of information flows, managing or controlling budgets, and follow-up planning.
  • Knowledge and use of Good Manufacturing/Distribution principles (GMP).
  • Ability to lead and motivate people and coach them to develop and grow.
  • Presentation skills and well-developed communication skills.
  • Ability to identify, develop, and implement technology-enabled process improvements and digital transformation initiatives.

Nice To Haves

  • Lean Six Sigma Black Belt.
  • Knowledge of FPX methodology.
  • Experience in healthcare, medical device, pharmaceutical, or another regulated environment.
  • FPX, Six Sigma, or Lean training.
  • Experience using data analytics, AI-enabled tools, Generative AI, Agentic AI, Power BI, Microsoft Fabric, or similar digital technologies to drive operational improvements.
  • Familiarity with warehouse automation, AI-driven optimization, predictive analytics, and intelligent workflow solutions.

Responsibilities

  • Lead the site's continuous improvement strategy and roadmap in alignment with operational and business objectives.
  • Deploy Lean, Six Sigma, Kaizen, Value Stream Mapping, problem-solving, and Process Excellence methodologies.
  • Identify operational inefficiencies and bottlenecks across inbound, storage, replenishment, picking, packing, shipping, returns, cold chain, and inventory management processes.
  • Facilitate Kaizen events, Rapid Improvement Workshops, and cross-functional problem-solving initiatives.
  • Develop and maintain standard work, process documentation, and best practices.
  • Analyze operational and inventory data to identify performance improvement opportunities.
  • Lead root cause analysis and corrective action plans for operational failures, customer complaints, CAPAs, and quality events.
  • Conduct benchmarking assessments and implement industry best practices.
  • Manage a portfolio of continuous improvement projects from ideation through implementation and sustainability.
  • Support site initiatives involving automation, robotics, warehouse management systems, and digital transformation programs.
  • Promote a culture of operational excellence, accountability, and employee engagement.
  • Use advanced analytics, AI agents, and digital tools to identify bottlenecks, process variation, capacity constraints, and improvement opportunities.
  • Support the development and implementation of digital transformation initiatives, including AI-enabled dashboards, automation technologies, robotics, warehouse management systems, and intelligent decision-support tools.
  • Coordinate and optimize relevant findings from other Deliver and Make sites.
  • Work with Engineering, Facilities, EHS&S, Planning, Suppliers, GDEx, and other organizations to provide mentorship and strategic direction.
  • Lead and motivate people and coach them to develop and grow.
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