Chris Masternak
Senior Manager, Ai Solution Architecture for the Americas @Splunk
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WORK HISTORY
Senior Manager, Ai Solution Architecture for the Americas @Splunk
Calgary, AB, CA
Lead the Americas AI Solutions Architects team, driving adoption of generative AI, machine learning, and deep-learning solutions.Partner with Sales and Solutions Engineering leadership to shape strategy and support high-value pre-sales opportunities.Oversee technical briefings, demos, evaluations, and POCs to ensure strong AI solution design and customer outcomes.Build and scale a high-performing AI architecture organization through recruiting, coaching, and talent development.Provide ongoing performance management, 1:1 development, and onboarding support for AI Solution Architects.Align field execution with Splunk and Cisco’s AI strategy, and collaborate cross-functionally with Product, Engineering, and Support.
EDUCATION
The University of British Columbia
Bachelor's Degree, Engineering Physics (Specialization: Electrical Engineering)
University of Calgary
Master’s Degree, Biomedical Engineering
SKILLS
ABOUT CHRIS MASTERNAK
Spent five years building bespoke Advanced Analytics solutions for Fortune 100 clients with IBM. Originally started as a Data Scientist, then moved into Practice Manager, Product Manager, and Engagement Manager roles for Digital Transformation initiatives.My academic background is centred around Physics, Electrical Engineering, and Biomedical Engineering. I\'ve worked on problems ranging from Digital Transformation strategy, classically-hard optimization problems (logistics/scheduling optimization), process optimization, using ML in forecasting, predictive modelling, natural language processing, and simulation.I\'m hands-on Product Manager, and enjoy developing Proofs-of-Concept while working with a customer and team to deliver it to completion. I have led both successful and unsuccessful products, and excel in situations where: there\'s a technically-difficult problem to solve, plenty of data to analyze, and customers to interview.Co-founded ForeQast, backed by Entrepreneur First and Greylock Partners, building a product to combine Machine Learning and Engineering using a new framework called Physics-Informed Deep Learning.
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