Senior Manager, Metrology and Data Analytics

Senior Manager, Metrology and Data Analytics

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.

• 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.

• 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.

• Prolonged periods of standing and performing repetitive tasks.
• Must be able to lift up to 25 lbs. at a time.
• Must have manual dexterity in order to assemble products as directed.
• Must have excellent hand-eye coordination
• Must wear Personal Protective Equipment (PPE)

Bloom Energy is an equal opportunity employer and makes employment decisions on the basis of merit. We are committed to compliance with all applicable laws providing equal employment opportunities. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, or disability. Bloom Energy makes reasonable accommodations, consistent with applicable laws, for the known physical or mental limitations of an otherwise qualified applicant or employee with a disability, who can perform the essential job functions, unless undue hardship would result.

Bloom Energy is committed to fair and equitable compensation practices. The total compensation for this position includes standard company benefits and is based on various factors including, but not limited to, relevant skills and experience.

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