Senior Equipment Engineer: Reliability & Lifecycle Champion

Sanofi Group

Framingham (MA)

On-site

USD 120,000 - 170,000

Full time

3 days ago

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Job summary

Sanofi is seeking a Sr. Equipment Engineer in Framingham, MA to act as the technical owner of a portfolio of manufacturing and facility equipment.

You will combine hands-on troubleshooting with maintenance strategy, documentation, and cross‑functional leadership to improve reliability and lifecycle performance. You will lead the development of executable maintenance plans, optimize PM programs and spares, and drive equipment changes from design review to qualification, ensuring compliance and

Qualifications

Bachelor's degree in engineering with 3+ years of relevant experience in manufacturing, facilities, utilities, laboratories, or complex process equipment in regulated/high‑reliability environments.
Alternative: 8+ years of experience without a bachelor’s degree.
Demonstrated equipment troubleshooting using drawings, manuals, data, failure history, and root‑cause methods.
Experience developing job plans, PM tasks, technical specs, spare-parts recommendations, or maintenance strategies.
Experience supporting equipment modifications, commissioning, qualification, change control, deviations, or CAPAs.

Responsibilities

Own equipment performance and lifecycle, including asset health, design basis, operating limits, criticality, failure history, documentation, and maintenance strategy.
Lead troubleshooting and field support; diagnose mechanical, electrical, instrumentation, and control issues; coordinate with mechanics and technicians.
Develop and approve complete work packages with scope, sequence, labor, parts, tools, permits, LOTO, acceptance criteria, testing, and turnover.
Create risk-based PM strategies, spares, BOMs, and obsolescence mitigation plans using operating history and OEM guidance.
Lead equipment changes: define requirements, lead design reviews, vendor selection, FAT/SAT, commissioning, qualification, turnover, and training.
Drive reliability: analyze downtime, deviations, maintenance findings, and condition data to reduce failures and improve safety.