This role leads the strategic direction of fleet performance analytics to drive predictive insights and early anomaly detection for Bloom Energy's global fuel cell fleet
Job Summary
This role leads the strategic direction of fleet performance analytics to drive predictive insights and early anomaly detection for Bloom Energy's global fuel cell fleet.
The ideal candidate will leverage deep learning algorithms and field data to reduce service costs by identifying anomalous behavior correlated with product failure modes.
Bloom Energy is seeking a visionary leader to foster a culture of continuous improvement while collaborating with Engineering, Quality, and AI teams to accelerate root cause investigations.
Matching Summary
This role leads the strategic direction of fleet performance analytics to drive predictive insights and early anomaly detection for Bloom Energy's global fuel cell fleet.
Salary
Base: $203,000.00 - $292,100.00; Bonus/Equity: Not specified; Benefits: Standard company benefits included
Skills & Requirements
Must-have
12+ years product reliability experience
Python SQL statistical tools expertise
Reliability engineering methodologies knowledge
Fleet performance analytics leadership
Cross-functional team management skills
Nice-to-have
Tableau visualization experience preferred
C3 AI partnership engagement background
Six Sigma 8D problem solving skills
Deep learning algorithm application
Strategic vision for data innovation
Key Requirements
Bachelor's or Master's degree in Data Science or Engineering
12+ years experience in reliability or systems engineering
Expertise in Fault Tree Analysis and Reliability Block Diagrams
Skilled in RCCA methodologies like Six Sigma and 8D
Strong business acumen for translating technical insights