Sr Eng Process Engineering
- Memphis, TN, United States
Applications open in a new tab.
Job details
- Apply by
- Experience
- A minimum of 4 years of relevant experience supporting a warehousing or manufacturing environment.
- Posting language
- English
- Posted
Original job description
At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.
As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.
Job Function:
Supply Chain Engineering
Job Sub Function:
Process Engineering
Job Category:
Scientific/Technology
All Job Posting Locations:
Memphis, Tennessee, United States of America
Job Description:
About MedTech Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments.
Your unique talents will help patients on their journey to wellness. Learn more at https://www.jnj.com/medtech
An internal pre-identified candidate for consideration has been identified. However, all applications will be considered.
We are searching for the best talent for Sr Engineer Process Engineering
Purpose: We distribute lifesaving products! We are looking for a leader to help us in this steadfast pursuit of outstanding service to our patients. Do you have a passion to join us in this endeavor? We're looking for a self-starter who ensures compliance in execution.
The Process Engineer & Continuous Improvement (CI) lead will lead and direct operational efficiency and productivity initiatives across the facility. This role serves as the site champion for Lean, Six Sigma, and continuous improvement methodologies, partnering with Operations, Quality, Engineering, Inventory Management, Transportation, and 3PL providers to improve safety, service, quality, productivity, compliance, and cost performance.
The Process Engineer & CI Lead will identify opportunities, lead cross-functional improvement projects, develop site performance metrics, and build a culture of continuous improvement throughout the organization. The role is expected to deliver measurable business results while ensuring compliance with healthcare, GMP, SOX, and regulatory requirements. They will also ensure compliance with GxP/FDA/ISO requirements and be key players to optimize and coordinate findings from other Deliver and Make sites as appropriate. Work with all of the vital organizations (Engineering, Facilities, EHS&S, Planning, Suppliers, GDEx, as well as others) to provide day-to-day mentorship and longer-term strategic direction to the site within the scope of this role.
Fosters and encourages inclusiveness and diversity.
You will be responsible for:
- Lead the site's continuous improvement strategy and roadmap aligned 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.
- Leverage advanced analytics, AI agents, and digital tools to proactively identify bottlenecks, process variation, capacity constraints, and continuous 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.
Qualifications / Requirements:
- A minimum of a bachelor's degree in mechanical, industrial, electrical engineering or equivalent field is required.
- A minimum of 4 years of relevant experience supporting a warehousing or manufacturing environment.
- Lean Six Sigma Green Belt required; Black Belt preferred.
- 3+ years managing Lean/Six Sigma projects with demonstrated business impact.
- Project Management experience; control of information flows, manage/control budgets and follow-up planning is required. Knowledge of FPX methodology is preferred
- Experience in healthcare, medical device, pharmaceutical, or other regulated environments strongly preferred.
- Use of Good Manufacturing/ Distribution principles (GMP) principles is required
- Capable to lead and motivate people, and coach them to develop and grow
- Presentation and well-developed communications skills
- FPX, Six Sigma, Lean training preferred
- Experience utilizing data analytics, AI-enabled tools, Generative AI, Agentic AI, Power BI, Microsoft Fabric, or similar digital technologies to drive operational improvements is preferred.
- Demonstrated ability to identify, develop, and implement technology-enabled process improvements and digital transformation initiatives.
- Familiarity with warehouse automation, AI-driven optimization, predictive analytics, and intelligent workflow solutions is preferred
- This position may require up to 15% of travel both internationally and domestically
Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.
Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via https://www.jnj.com/contact-us/careers , internal employees contact AskGS to be directed to your accommodation resource.
If you are under 18 years of age, you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment, as well as get a parent’s consent for the background check.
Required Skills:
Preferred Skills:
Agile Decision Making, Developing Others, Efficiency Analysis, Emerging Technologies, Inclusive Leadership, Leadership, Lean Supply Chain Management, Problem Solving, Process Control, Process Engineering, Process Improvements, Product Costing, Product Improvements, Science, Technology, Engineering, and Math (STEM) Application, Situational Awareness, Supply Planning, Team Management, Technical Research, Technical Support, Vendor Selection
More about this job
Skills
- Process engineering
- Supply chain management
- Electrical engineering
- Warehouse operations
- Lean Six Sigma Green Belt
- Lean Six Sigma Black Belt
- Lean manufacturing
- Project management
- Good manufacturing practices
- Data analysis
- Microsoft Power BI
- Workflow