Position:
Principal Specialist - Supply Management (Castings Commodity) at Pratt & Whitney
Location:
Montreal, Quebec, Canada
Found email addresses for Mohammed Saed:
Found phone for Mohammed Saed:
Dec 2025 - Current
Jan 2025 - Apr 2026
May 2022 - Jan 2025
Jan 2022 - Apr 2022
Their professional focus is Analytical Skills, Coaching, and Communication across 3 core areas.
Bachelor of Engineering - BE at Concordia University
What is Mohammed Saed's email address?
SignalHire found a verified business email address for Mohammed Saed: s****m@rtx.com.What is Mohammed Saed's phone number?
SignalHire found a verified phone number for Mohammed Saed: +1-***-***-8389.How do I contact Mohammed Saed at Pratt & Whitney?
You can reach Mohammed Saed through SignalHire by unlocking their verified email and direct phone number (free signup, no credit card needed). SignalHire is the fastest route if you need their contact details immediately.What is Mohammed Saed's professional background?
Mohammed Saed has 4 years of professional experience. They have held roles including Principal Specialist - Supply Management (Externals Commodity), Senior Associate - Supply Management (Externals Commodity), and Production Planning/Analyst at companies such as Pratt & Whitney, Pratt & Whitney, and Bombardier. Their education includes Bachelor of Engineering - BE from Concordia University.Is Mohammed Saed's contact information up to date?
Yes. Mohammed Saed's SignalHire profile was last updated on 24 April 2026, reflecting their current position as Principal Specialist - Supply Management (Castings Commodity) at Pratt & Whitney in East Hartford, CT, United States.SignalHire complies with the General Data Protection Regulation (GDPR). SignalHire follows GDPR requirements, including but not limited to rights of data subjects to access, correct, or delete their personal information and supports the right to be forgotten.
SignalHire is CCPA-compliant and provides California residents the right to know, access, opt out, and request deletion of their personal data.