Method Engineer

Role name: Method Engineer

Work Location: Hornell, NY (Onsite)

Start date: Immediate availability.

Job Type: Contract

Interview: Phone/Skype The objective of the project is to establish robust performance tracking for the 3 robotic stations, identify recurring operational issues (ALEAs), and drive data-based actions to improve efficiency and reduce production.

Key Responsibilities

• Monitor and analyze operational performance metrics, process cycle times, lead times, and productivity indicators against defined targets.
• Collect, record, and analyze operational disruptions, incidents, exceptions, and performance deviations.
• Track issue resolution activities and analyze resolution effectiveness and turnaround times.
• Identify recurring trends, patterns, bottlenecks, and root causes impacting operational performance.
• Develop, implement, and track corrective and preventive action plans to improve process reliability and efficiency.
• Measure and evaluate the effectiveness of improvement initiatives through performance dashboards and reporting tools.
• Escalate risks, issues, and unresolved concerns to relevant stakeholders as required.
• Analyze manual and automated process activities to identify opportunities for cycle time reduction and productivity improvement.
• Provide recommendations to optimize workflows, reduce inefficiencies, and enhance operational performance.
• Collaborate with cross-functional teams to support continuous improvement and operational excellence initiatives.
• Develop and maintain performance dashboards and reports to communicate key performance indicators (KPIs) and project progress.

Key Performance Indicators (KPIs)

-Process cycle time and throughput performance

-Operational lead time tracking

-Manual activity and productivity analysis

-Incident/disruption occurrence and resolution metrics

-Corrective and preventive action plan progress

-Process efficiency, utilization, and performance trends

-Continuous improvement initiative effectiveness and closure rates

Mandatory Skills

Minimum 3-5 years of experience in data analytics, manufacturing operations, or industrial performance analysis.

Strong knowledge of

Excel

Data visualization tools

Statistical analysis

Strong problem-solving and stakeholder management skills.

An optional requirement to have a past experience working with robotic or automated manufacturing environments.