Senior Manager, Metrology and Data Analytics

Bloom Energy•Fremont, CA

1d•Onsite

About The Position

At Bloom Energy, our vision for a world powered by clean, reliable, and affordable energy is more than just a dream—we’re making it reality. For over two decades, we’ve been at the forefront of the global energy transition, pioneering solutions that empower critical industries to thrive in a rapidly digitizing, energy-intensive world. From revolutionizing power for AI-driven data centers to ensuring resilience for hospitals, electric grids, manufacturing facilities, and utilities, our solid oxide fuel cell (SOFC) and solid oxide electrolyzer (SOEC) technologies are redefining what’s possible by delivering energy abundance for all. With more than 30,000 fuel cell modules deployed worldwide, we are the trusted partner for Fortune 100 companies and innovators alike. Our cutting-edge solutions enable unparalleled “time-to-power” capabilities, reliability, and sustainability, ensuring our customers remain ahead in a world where soaring energy demand and intensifying energy scarcity are rapidly becoming the new norm. At Bloom, we thrive on collaboration, bold thinking, and relentless innovation. We believe that, together, we can create a brighter, more sustainable future while tackling the most pressing challenges of the 21st century. We are looking for a Senior Manager, Metrology and Data Analytics, to join our team in one of today’s most exciting technologies. This role will report to the Factory Engineering Director and will be based in Fremont, CA. This is a fully on-site, in office role 5 days a week.

Requirements

Bachelor’s degree in engineering, physics, materials science, data science or a related technical field.
10+ years of experience in equipment engineering, maintenance engineering, or manufacturing engineering roles.
5+ years of leadership or people‑management experience.
Strong expertise in measurement systems, statistical analysis, and metrology tools.
Experience with analytical methods such as regression modeling, SPC, MSA, DOE, and multivariate statistics.
Proficiency with data analysis tools (e.g., Python, R, JMP, MATLAB, Power BI, or equivalent).
Excellent communication, stakeholder management, and cross‑functional alignment skills.

Responsibilities

Develop and implement the enterprise metrology and data analytics strategy aligned with manufacturing objectives.
Lead, coach, and develop a team of metrology engineers, data scientists, analysts, and technicians.
Establish team goals, KPIs, and training programs to build technical depth and analytical capabilities.
Partner with Manufacturing, Quality Engineering, R&D, IT, and Automation teams to drive integrated data solutions and measurement innovation.
Own the performance, calibration, capability, and lifecycle management of metrology tools and systems.
Lead measurement system analysis (MSA), gauge R&R, process capability, and validation activities.
Implement best practices in precision measurement, statistical validation, and uncertainty analysis.
Oversee development of analytical models that support process control, root cause analysis, and yield improvement.
Champion the use of advanced analytics (e.g., multivariate analysis, machine learning, predictive modeling) to enhance decision‑making.
Ensure data integrity, governance, and standardization across metrology and production systems.
Partner with IT/Automation to integrate data platforms, visualization tools, and automated reporting capabilities.
Lead continuous improvement initiatives to enhance measurement capability, reduce variability, and accelerate learning cycles.
Drive projects using Lean, Six Sigma, and statistical methods to optimize processes and improve yield.