Manufacturing Engineer II

TDW•Tulsa, OK

About The Position

Serve as an individual contributor and technical leader within the manufacturing organization, applying engineering principles to optimize production processes, improve operational efficiency, and enhance system performance for TDW products and services. Focus on process capability, throughput, cost reduction, and waste elimination across manufacturing operations.

Requirements

Bachelor of Science degree in Industrial Engineering, Mechanical Engineering, Operations Engineering, or related field
3–8 years of experience in manufacturing, operations, or process improvement roles
Demonstrated experience applying Lean, Six Sigma, or similar methodologies in a production environment
Experience with data analysis, process mapping, and performance improvement initiatives
Demonstrated track record of delivering measurable performance (cycle time reduction, scrap reduction, OEE, etc.) improvements
Experience working in cross-functional teams in a manufacturing setting
Strong understanding of manufacturing processes and production systems
Proficiency in process analysis tools (value stream mapping, time studies, root cause analysis, etc.)
Working knowledge of Lean Manufacturing, Six Sigma, and continuous improvement practices
Ability to interpret production data and translate insights into actionable improvements
Familiarity with ERP/MRP or manufacturing systems preferred
Strong problem-solving, analytical, and organizational skills
Excellent communication skills with the ability to influence across functions
Proficient in Microsoft Excel and other data analysis tools

Responsibilities

Analyze, develop, and continuously improve manufacturing processes, including machining, welding, assembly, paint, and testing operations
Lead and support initiatives to improve throughput, cycle time, capacity, and overall equipment effectiveness (OEE)
Partner with cross-functional teams (Production, Quality, Maintenance, Supply Chain) to identify and eliminate process inefficiencies and constraints
Apply Lean, Six Sigma, and/or continuous improvement methodologies to drive measurable operational improvements
Develop and maintain standard work, process documentation, and visual management tools to ensure process consistency and repeatability
Utilize data analysis tools to monitor process performance, identify trends, and implement opportunities
Support new product introduction (NPI) by ensuring processes are capable, scalable, and aligned with production requirements
Identify and implement opportunities for automation, error-proofing (poka-yoke), and process simplification
Lead or support capital projects focused on capacity expansion, productivity improvement, and cost reduction
Facilitate root cause analysis (RCA) and implement effective and sustainable corrective actions.
Drive improvements in material flow, layout optimization, and inventory reduction
Ensure alignment with safety, quality, and operational standards while driving process improvements
Support Change Management by ensuring process changes are documented and controlled in a manner to ensure proper authorization and implementation.