Org Marketing Statement
Parker Hannifin is a Fortune 250 global leader in motion and control technologies and systems. For more than a century the company has been enabling engineering breakthroughs that lead to a better tomorrow. Learn more at www.parker.com or parkerhannifin.
Are you ready to shape a brighter future?
In Motion Systems Group and Hydraulic Valve Systems Division, we play a pivotal role in applications that change our world. We are in almost everything that moves. With our wide range of technologies, we help our customers solve their most complex engineering challenges by living our purpose: Enabling Engineering Breakthroughs that lead to a Better Tomorrow. We believe that our team members are our key assets and that a diverse workforce is a driving force to bring our purpose to life. We foster a culture where every team member feels safe, included, and empowered. We all belong, we all matter, and we all make a difference.
Position Summary
Manufacturing Engineering (ME) drives measurable improvements in safety, quality, delivery, and cost through Lean Six Sigma (LSS) methods and robust industrial engineering practices. This role leads complex, cross-functional initiatives to optimize manufacturing processes, labor, material flow, capacity, and factory performance while sustaining gains through standardization and control plans.
Responsibilities
Lead high-impact DMAIC projects aligned to business KPIs (OEE, FPY, scrap, cycle time, OTIF, COPQ, labor productivity).
Define project charters, problem statements, scope, benefits and timelines.
Apply statistical and analytical tools to identify root causes and validate solutions (hypothesis testing, regression, DOE, capability).
Implement sustainable controls: control plans, visual management, layered process audits, SPC strategies, reaction plans.
Mentor Jr. Engineers and support site-wide continuous improvement maturity.
Develop and improve standard work, work instructions, and operator methods to reduce variation and improve repeatability.
Perform time studies, labor standards development, line balancing, and takt/capacity modeling.
Drive waste elimination (transport, motion, waiting, overproduction, defects, inventory, over-processing, unused talent).
Establish and maintain documentation process and change control to ensure long-term adherence.
Design and optimize plant layouts, cells, and production lines for throughput, ergonomics, and material flow.
Understands value stream mapping (current/future state).
Analyze equipment and line performance; identify constraints using TOC and bottleneck analysis.
Improve OEE through reduction of downtime, speed loss, minor stops, and changeover time (SMED).
Support capital justification and equipment selection using ROI/NPV, payback, and risk assessment.
Partner with Quality and Operations to reduce defects and variation; conducts PFMEA/control plan updates.
Support investigation and corrective action (8D, RCCA) with data-driven methods.
Build and maintain performance tracking for key manufacturing metrics (daily management systems).
Use MES/ERP data to identify loss drivers and prioritize improvements.
Develop repeatable reporting and analytics to monitor improvements and detect drift.
Incorporate safety-by-design in layouts, methods, and process changes.
Conduct ergonomic assessments and implement risk-reduction solutions.
Ensure compliance with site procedures and applicable regulatory/industry standards.
Facilitate Kaizen events; Align Engineering, Operations, Quality, Supply Chain, and Maintenance.
Train operators and support teams with new standards and ensure effective adoption.
Communicate progress and results to leadership; support manage project risks and escalations.
Qualifications
Bachelor’s degree in engineering (Industrial, Mechanical, Manufacturing, or equivalent).
Experience of 2 - 4 years.
Advanced English proficiency
Lean Six Sigma - Green Belt.
Lean certifications (Kaizen leader, Lean practitioner).
Exposure to manufacturing processes, production support, or quality systems preferred.
Ability to read and interpret engineering drawings, specifications, and basic GD&T concepts preferred.
Preferred knowledge
VSM, takt time, pitch, WIP controls, pull systems, superspanet sizing
OEE loss tree, constraint management
SMED, line balancing, yamazumi charts
5S/visual controls, layered audits
MSA (variable + attribute), SPC, capability analysis
Hypothesis testing, regression, ANOVA, non-normal analysis
DOE (screening + optimization), response surface when needed
Labor standards (MOST/MTM), staffing models
Discrete-event simulation (if used), throughput/capacity models
Ergonomics (NIOSH/REBA/RULA), safety-by-design considerations
Advanced Excel, Minitab/JMP (or equivalent)
Language Tags
