Robust Design Leader - Commercial HVAC

About the role

We are seeking an experienced Robust Design Leader to drive engineering excellence through the deployment of advanced reliability, risk mitigation, and robust design methodologies across chiller product development programs.

Key Responsibilities

• Lead the deployment and continuous improvement of robust design methodologies across product development programs.
• Serve as the engineering subject matter expert for:
• Developing and using FMEAs
• Critical Parameter Management
• Design for Six Sigma (DFSS) principles
• Risk management techniques
• Developing standard practices to increase engineering key processes
• Coach engineering teams to proactively identify, quantify, and mitigate technical risks.
• Support the engineering organization in establishing a robust design culture focused on prevention rather than reaction.

FMEA Leadership and Risk Management

• Facilitate and coach cross-functional Design FMEA activities from concept through launch.
• Ensure failure modes, causes, controls, and mitigation plans are comprehensive and technically sound.
• Challenge teams to identify hidden risks, interface failures, and systemic failure mechanisms.
• Guide prioritization of risk-reduction activities based on severity, occurrence, and detection effectiveness.
• Conduct audits and assessments of FMEA quality and completeness.
• Support design reviews and technical gate reviews with clear risk assessments and recommendations.

Verification and Test Strategy Development

• Help engineering teams create efficient and effective verification plans.
• Ensure testing focuses on reducing uncertainty and retiring the highest technical risks early.
• Help teams improve product development efficiency by minimizing testing while maintaining technical confidence.

Design of Experiments (DOE) and Statistical Methods

• Coach engineers on DOE principles and application.
• Design and analyze screening, factorial, response surface, and optimization experiments.
• Improve engineering decision making through statistical analysis.
• Support development of predictive engineering models and design optimization strategies.

Training, Mentoring, and Capability Development

• Develop and deliver training on:
• Robust Design
• DFMEA
• Reliability Engineering
• DFSS
• Statistical Methods
• DOE
• Mentor project engineers, system engineers, design engineers, and technical leaders.
• Build organizational capability through coaching and standard work development.

Engineering Reviews and Governance

• Participate in and facilitate technical reviews throughout the Product Development Process.
• Ensure engineering decisions are supported by data, analysis, testing, and risk evaluations.
• Support engineering leadership with objective assessments of technical readiness and residual risk.
• Drive continuous improvement of engineering quality metrics and engineering processes.