Director, System Performance & Reliability Analytics

Description

• Define and communicate a clear vision for data-driven reliability engineering, aligning cross-functional teams and fostering a culture of innovation and continuous improvement.
• Collaborate with Engineering, Quality, Field Service, and AI teams to accelerate root cause investigations and corrective actions.
• Lead and participate in the engagement with C3 AI during the 2 year Reliability partnership.
• Lead the strategic direction and execution of fleet performance analytics, utilizing the reliability performance models, and field data to drive predictive insights and early anomaly detection.
• Integrate data from diverse sources to identify systemic degradation patterns and inform strategic reliability initiatives.
• Facilitate the execution of automated inspection through pattern detection from learning models to improve efficiency on the production floor and reduce quality escapes in station.
• Lead enterprise-wide problem-solving efforts, facilitating collaboration across Service, Operations, Engineering, and Quality teams.
• Oversee data validation and analysis using Python, SQL, and statistical tools to ensure high-quality insights and support executive decision-making.
• Monitor and report on cost-of-poor-quality metrics, driving initiatives to reduce inefficiencies and improve product lifecycle economics.
• Deliver high-impact presentations to internal and external stakeholders, translating complex technical analyses into strategic recommendations.
• Champion automation of analytical workflows to enable scalable and efficient fleet monitoring.
• Define and execute strategies for utilizing fleet data that reduces overall service cost by enabling predictive product failure using deep learning algorithms to identify anomalous behavior that is correlated to the physics of the product failure modes and degradation.
• Develop and implement advanced alerting systems and visual dashboards to monitor regional, product-specific, and operational deviations.

Requirements

• Skilled in RCCA methodologies (Six Sigma, 8D) with experience solving complex problems and driving corrective actions.
• Strong business acumen with the ability to translate technical insights into strategic initiatives.
• 12+ years of experience in product reliability, performance analytics, or systems engineering.
• Exceptional communication and presentation skills, with the ability to influence senior leadership and guide cross-functional alignment.
• Expertise in data mining and analytics using Python, SQL, and statistical tools (JMP, Minitab); Tableau experience preferred.
• Visionary mindset with a passion for leveraging data to drive innovation, operational excellence, and long-term product reliability.
• Data-Driven Decision Making
• Strategic Thinking & Vision Setting
• Proven track record of building and leading high-performing teams across technical and business functions.
• Strong understanding of reliability engineering methodologies including Fault Tree Analysis, Reliability Block Diagrams, and Markov modeling; experience with Reliasoft or equivalent tools is a plus.
• Bachelor’s or Master’s degree in Data Science, Mechanical, Electrical, Chemical, Reliability, or Systems Engineering; advanced degree preferred.

Benefits

Training + Development

Interview process

Visa Sponsorship

Security clearance