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Salary
≈ $75k – $176k per year (Estimated)
Location
In office (New York)
Employment
Contractor

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Oct 26, 2026. SEGULA Technologies scores A on the Alion truth index.

Overview
Company
Impact
Profile match
SEGULA Technologies is a French engineering group founded in 1985 and active in automotive, aerospace, energy and naval industries. It designs vehicles, production lines and industrial software for manufacturers and also runs its own innovation projects. The family-owned group employs more than fifteen thousand people in around thirty countries.

Position Overview

We are seeking a data-driven Methods Engineer for a 3-month contract position to support the measurement, analysis, monitoring, and continuous improvement of automated production processes. In this role, you will establish robust performance tracking across 3 key robotic stations, analyze operational deviations (ALEAs), and lead data-backed initiatives to optimize efficiency.

The primary objective of this project is to identify core factors of process deviation to help the facility consistently meet its current 9-day takt time target, while developing actionable improvements to eventually achieve a 2-day takt time.

Key Responsibilities

  • Process Analysis & Optimization: Measure, monitor, and evaluate performance across 3 robotic stations to eliminate bottlenecks and reduce production delays.

  • Takt Time Reduction: Analyze operational data to identify root causes of process deviation, driving targeted actions to maintain a 9-day takt time and build the roadmap toward a 2-day takt time.

  • Operational Issue Tracking: Identify, track, and categorize recurring operational issues (ALEAs) to implement sustainable corrective solutions.

  • Data & Performance Monitoring: Establish continuous performance tracking mechanisms using statistical analysis and data visualization tools to inform shop-floor and management decision-making.

  • Cross-Functional Collaboration: Partner with manufacturing operations and engineering teams to present findings, align on priority interventions, and guide implementation.

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