Matthew Gilmore Email & Phone Number
@redhat.com
3 phones found area 919
LinkedIn matched
Who is Matthew Gilmore? Overview
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Matthew Gilmore is listed as Global Renewals GTM Strategy and Programs at Red Hat, a with 19595 employees, based in Raleigh-Durham-Chapel Hill Area, United States. AeroLeads shows a work email signal at redhat.com, phone signal with area code 919, and a matched LinkedIn profile for Matthew Gilmore.
Matthew Gilmore previously worked as Director, Data Science | Global Operations at Red Hat and Director, Data Science | Corporate Strategy at Red Hat. Matthew Gilmore holds Ms, Analytics from North Carolina State University.
Email format at Red Hat
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AeroLeads found 3 current-domain work email signals for Matthew Gilmore. Compare company email patterns before reaching out.
About Matthew Gilmore
Proven data science leader with a decade of experience building successful analytics teams from the ground up at a multi-billion dollar open source software company. Known as a versatile communicator and collaborator, with a demonstrated ability to lead a wide range of technical data functions and to create high impact, data driven outcomes across a broad set of business domains in modern enterprise software. Programming: Python, SQL
Listed skills include Analytics, Python, R, Sql, and 11 others.
Matthew Gilmore's current company
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Matthew Gilmore work experience
A career timeline built from the work history available for this profile.
Director, Data Science | Global Operations
Current
Director, Data Science | Corporate Strategy
Director, Global Finance Analytics
Senior Manager, Global Finance Analytics
Manager, Data Science | Sales Finance
Team Lead, Data Science | Sales Operations
Data Scientist | Sales Operations
Colleagues at Red Hat
Other employees you can reach at redhat.com. View company contacts for 19595 employees →
Michelle Little
Colleague at Red HatGibsonville, North Carolina, United States
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RR
Renata Ravanelli
Colleague at Red HatPonta Grossa, Paraná, Brazil
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CM
Carmen Mendoza
Colleague at Red HatAlbuquerque-Santa Fe Metropolitan Area, United States
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SR
Som Rajput
Colleague at Red HatEtawah, Uttar Pradesh, India
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RR
Rajeev Rajendran
Colleague at Red HatRaleigh-Durham-Chapel Hill Area, United States
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DM
David Mesquita Martins
Colleague at Red HatSão Paulo, Brazil
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TM
Titas Majumder
Colleague at Red HatKolkata, West Bengal, India
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SK
Sanchit Koul
Colleague at Red HatJaipur, Rajasthan, India
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SR
Shubham Rawat
Colleague at Red HatDelhi, India
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SH
Sajid Hussain
Colleague at Red HatKundiān, Punjab, Pakistan
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Matthew Gilmore education
Ms, Analytics
Bachelor Of Arts (Ba), Economics
Bachelor Of Arts (Ba), Political Science
Frequently asked questions about Matthew Gilmore
Quick answers generated from the profile data available on this page.
What company does Matthew Gilmore work for?
Matthew Gilmore works for Red Hat.
What is Matthew Gilmore's role at Red Hat?
Matthew Gilmore is listed as Global Renewals GTM Strategy and Programs at Red Hat.
What is Matthew Gilmore's email address?
AeroLeads has found 3 work email signals at @redhat.com for Matthew Gilmore at Red Hat.
What is Matthew Gilmore's phone number?
AeroLeads has found 3 phone signal(s) with area code 919 for Matthew Gilmore at Red Hat.
Where is Matthew Gilmore based?
Matthew Gilmore is based in Raleigh-Durham-Chapel Hill Area, United States while working with Red Hat.
What companies has Matthew Gilmore worked for?
Matthew Gilmore has worked for Red Hat.
Who are Matthew Gilmore's colleagues at Red Hat?
Matthew Gilmore's colleagues at Red Hat include Michelle Little, Renata Ravanelli, Carmen Mendoza, Som Rajput, and Rajeev Rajendran.
How can I contact Matthew Gilmore?
You can use AeroLeads to view verified contact signals for Matthew Gilmore at Red Hat, including work email, phone, and LinkedIn data when available.
What schools did Matthew Gilmore attend?
Matthew Gilmore holds Ms, Analytics from North Carolina State University.
What skills is Matthew Gilmore known for?
Matthew Gilmore is listed with skills including Analytics, Python, R, Sql, Shiny, Data Visualization, Machine Learning, and Sas.
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