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Leading AI & Data Strategy, Google Cloud
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Assessing your cultural and operational fit
Cloud Solutions Leader with 15 years of experience in sales engineering, program management, technological operations, and best practices with business growth strategies, specializing in Cloud Computing environment delivering data cloud solutions. Outstanding leadership and analytic skills for identifying customer business and technology needs. Excellent communication and interpersonal skills for team leadership, and collaboration with customers C-level, industry leaders, project partners, and global teams for advancing project, and organizational goals and success.
Tecnológico de Monterrey
Bachelor of Science Degree in Computer Systems Engineering
N/A – Present
Team Lead, Customer Engineering - AI & Data, Google Cloud
July 1, 2025 – Present
Miami-Fort Lauderdale Area
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MicroStrategy
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March 1, 2015 – July 1, 2016
Washington D.C. Metro Area
MicroStrategy
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January 1, 2012 – March 1, 2015
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MicroStrategy
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Washington D.C. Metro Area
J.P. Morgan
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February 1, 2008 – January 1, 2010
J.P. Morgan
Data Quality Assurance Analyst II - Electronic Financial Services
May 1, 2007 – February 1, 2008
OpenHack: Modern Data Warehousing
Microsoft OpenHack
June 24, 2026 – Present
MicroStrategy Certified Engineer
Strategy
June 24, 2026 – Present
MySQL 5 Certified Associate Exam-ENU
Oracle
June 24, 2026 – Present
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Microsoft Certified: Azure Data Engineer
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June 24, 2026 – Present
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Cultural Fit Analysis
The candidate has a diverse background working at major tech companies (Google, Microsoft, Oracle, J.P. Morgan, MicroStrategy) and has held various roles from Data Analyst to Team Lead. This breadth of experience across different organizational cultures and responsibilities suggests adaptability. The focus on enabling partners and customers, leading initiatives in multiple regions, and driving business value indicates a proactive and results-oriented mindset. However, the resume primarily highlights leadership and solution architecture roles rather than hands-on AI engineering development, which might require a cultural shift towards more direct technical contribution in an AI Engineer role.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and customer-facing skills through their roles at Google, Microsoft, and Oracle. Their experience in orchestrating technical strategies, leading initiatives, and coaching teams suggests excellent operational fit for roles requiring cross-functional collaboration and technical mentorship. The descriptions highlight effective communication and collaboration with customers and internal teams.