Senior Director - Product Reliability

15 - 24 years

25 - 40 Lacs

Posted:6 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role & responsibilities

  • Develop and lead the end-to-end product reliability strategy across design, testing, manufacturing, and field performance for electrolyzer systems.
  • Collaborate deeply with design engineering, R&D, and systems engineering to embed reliability into early design stages (FMEA, DfR, HALT, etc.).
  • Partner with operations and quality teams to monitor manufacturing consistency, identify systemic issues, and implement corrective/preventive actions (CAPA).
  • Work closely with field service and customer success to collect, analyze, and respond to real-world performance data and customer feedback.
  • Own and drive reliability testing programs, including accelerated life testing, environmental testing, stress testing, and statistical reliability validation.
  • Lead root cause analysis (RCA) on field and test failures, ensuring closed-loop learning feeds back into future designs.
  • Build and scale a high-performing reliability engineering team with strong analytical and experimental capabilities.
  • Present reliability metrics and insights to executive leadership, supporting product roadmap and risk management decisions.
  • Ensure compliance with relevant industry standards, safety regulations, and certification requirements

Preferred candidate profile

  • Bachelors degree in Mechanical, Electrical, Chemical Engineering or related discipline
  • 15+ years of experience in product reliability, systems engineering, or product development, ideally with automotive industry.
  • Demonstrated success leading cross-functional reliability programs for complex, electro-mechanical products.
  • Deep knowledge of reliability engineering tools and methodologies (FMEA, Weibull analysis, HALT/HASS, DFMEA, etc.).
  • Background in automotive reliability or industrial energy equipment is a strong plus.
  • Proven ability to bridge engineering and operational teams to drive measurable product improvements.
  • Strong data analysis skills; proficiency with reliability modeling tools and statistical software.
  • Exceptional communication, leadership and organizational skills.

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