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AI Product Development, Strategy, Innovation & Monetization Consulting
As an AI Strategy Leader, I’ve helped companies unlock the full potential of artificial intelligence by building resilient, future-forward tech ecosystems. Over the past 15+ years, my work has been grounded in the belief that AI should be both scalable and strategic, fueling better decision-making, unlocking new revenue streams, and strengthening operations. AI LEADERSHIP: One key contribution at Schneider Electric AI Hub was building and reshaping the AI consulting practice to be more agile and inclusive of evolving client demands. Instead of limiting customers to packaged AI solutions, I introduced support for Google, AWS, Azure & bespoke solutions diversifying capabilities and expand the total addressable market. I led the effort to reposition the department’s offerings, earning executive buy-in through targeted business cases that prioritized value creation, tech modernization, and growth potential. PROCESS TRANSFORMATION: I also led high-stakes initiatives aimed at preserving critical infrastructure for global clients. While working with Web Giants, I conducted in-depth risk evaluations and continuity planning to ensuring reliability of Medium-Voltage Transformers (MVTs) and critical assets. I designed AI-powered systems to predict equipment failures, incorporated LLMs to streamline and unify maintenance documentation, and developed data supported policies for asset durability. This work directly supported the protection and optimization of core power systems behind data centers and process automations. PERFORMANCE EXCELLENCE: For Samsung, I spearheaded efforts to enhance manufacturing throughput using predictive analytics. My solution combined XGBoost-based modeling with real-time data streams from SAS ESP to detect anomalies during silicon wafer production. The result was a significant uptick in yield and operational efficiency. By translating raw senso
MIT Professional Education
Applied Generative AI for Digital Transformation, Artificial Intelligence
January 1, 2025 – December 1, 2025
Oklahoma City University
Master of Business Administration (MBA) , Business Statistics
January 1, 1993 – December 1, 1995
Oklahoma State University
Finance, Statistics
N/A – Present
University of Central Oklahoma
Bachelor of Business Administration , Finance
N/A – Present
Granite Construction
Senior Lead of Enterprise AI Strategy and Product Innovation
March 1, 2026 – Present
Austin, Texas Metropolitan Area · Remote
Titan Cognition
AI Product Developer | AI Corporate Strategy Advisor
March 1, 2025 – March 1, 2026
Austin, Texas Metropolitan Area · Remote
BKFastPass
Chief AI Officer & AI Application Architect
March 1, 2025 – Present
Austin, Texas Metropolitan Area · Remote
Schneider Electric Hub
Sr. Manager AI Consulting & Digital Transformation | Leader of New Innovations
August 1, 2022 – February 1, 2025
Austin, Texas, United States · Hybrid
Accenture
Senior Manager of Data Science (Applied Intelligence Group)
June 1, 2021 – September 1, 2022
Austin, Texas Metropolitan Area · Remote
Uptake
Predictive Asset Management Practice Lead | IIOT Data Scientist
June 1, 2020 – August 1, 2021
Austin, Texas Metropolitan Area
Blue Prism
Senior Artificial Intelligence Solutions Engineer
June 1, 2019 – September 1, 2020
Austin, Texas
Alteryx
Sr Data Scientist & Solutions Engineer
September 1, 2018 – April 1, 2019
San Francisco, CA
Lucidworks
Senior Machine Learning Presales Engineer
December 1, 2017 – August 1, 2018
San Francisco Bay Area
LTAnalytics
Advisor and Co-Founder - Chief AI Officer
September 1, 2012 – July 1, 2021
Austin, Texas, United States
SAS
Senior Machine Learning Solutions Architect & Data Scientist (Global Analytics Group)
June 1, 2011 – October 1, 2017
Austin, Texas Metropolitan Area · Remote
Predixion Software, Inc.
Director AI Platform Sales Engineering
October 1, 2010 – April 1, 2011
IBM
Senior Data Science Solutions Engineer - SPSS
June 1, 2008 – October 1, 2010
SPSS
Global Data Science Solutions Engineer
May 1, 2005 – May 1, 2008
HP
Data Science Consultant - Analytics & Research Consulting Group
January 1, 2004 – April 1, 2005
Austin, TX
Dell Inc - Small Medium Business Division
Data Mining Consultant
January 1, 2003 – December 1, 2003
round rock, tx
Lombardi Software
BPM Pre-sales Solution Engineer
August 1, 2000 – November 1, 2002
DXC Technology
Insurance Expert System Project Lead / Pre-sales Consultant
June 1, 1997 – August 1, 2000
Austin, Texas Metropolitan Area
30 Day Idea to Demo
May 1, 2025 – June 1, 2025
CEO
Speaking Engagement: Applying Machine Learning to Location-Based Behavioral Data: A Retail Marketers Dream Come True
April 1, 2019 – Present
Many companies are sitting on rich sources of behavioral data with little to no success in extracting valuable insights. What if you could use location-based IOT and WIFI data to not only extract shopper intent or predict user behavior, but also drive actionable insights? In this session, we'll walk through the process of transforming and cleansing location-based data, build a model that clusters and predicts buyer behavior, and share how to take action on the model output. This session will cover: Traditional and machine learning (ML) techniques for data preparation Clustering customers based on behavior Understanding intentions and trip types Best customer scoring Dwell time analysis and predictive pathing
SAP BW 3.0b
SAP America
June 24, 2026 – Present
Multi AI Agent Systems with crewAI
CrewAI
June 24, 2026 – Present
Certified Analytics Professional
Data Shaping Inc.
June 24, 2026 – Present
Certified Data Scientist
MLtechniques.com
June 24, 2026 – Present
SAS Advanced Analytics for Enterprise Miner
SAS
June 24, 2026 – Present
SAS Certified Visual Modeler Using SAS Visual Statistics 7.4
SAS
June 24, 2026 – Present
Advanced Programming for Graph Databases
Neo4j
June 24, 2026 – Present
Spark Live Training Class
Databricks
June 24, 2026 – Present
AI Product Management Certification - Winter 2025 Certificate
Product Faculty
June 24, 2026 – Present
Azure Data Scientist Associate
Microsoft
June 24, 2026 – Present
Azure IoT Developer Specialty
Microsoft
June 24, 2026 – Present
Anaconda Python Programming for Data Science
Continuum
June 24, 2026 – Present
Certified Six Sigma Green Belt
Dell Technologies
June 24, 2026 – Present
Applied Generative AI for Digital Transformation
MIT Professional Education
June 24, 2026 – Present
AI Product Management Certification - Winter 2025 Certificate
Maven
June 24, 2026 – Present
Generative AI & LLM Courses
DeepLearning.AI
June 24, 2026 – Present
Certified Six Sigma Project Champion
Smarter Solutions Incorporated
June 24, 2026 – Present
Machine Learning (Andrew Ng)
Stanford University (Coursera.com)
June 24, 2026 – Present
Demo2Win
2Win!
June 24, 2026 – Present
Microsoft Certified: Azure Data Scientist Associate
Microsoft
June 24, 2026 – Present
Microsoft Azure AI Fundamentals
Microsoft
June 24, 2026 – Present
GHG Protocol Scope 2 Credentials
World Resources Institute
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across multiple companies (IBM, SAS, Accenture, Schneider Electric, etc.) and industries, coupled with entrepreneurial ventures (Titan Cognition, BKFastPass, LTAnalytics), suggests adaptability and a proactive, innovative mindset. The focus on AI strategy, product innovation, and digital transformation aligns well with organizations seeking to leverage cutting-edge technologies. However, the target role of 'Data Analyst' might be a significant mismatch for a candidate with such extensive senior leadership and AI strategy experience, potentially leading to underutilization of their advanced skills and a lack of engagement with the day-to-day tasks typically associated with a Data Analyst role. The candidate's profile is more aligned with a 'Lead Data Scientist', 'AI Strategist', or 'AI Product Manager' role.
Soft Skills & Operational Fit
The candidate's extensive experience in client-facing roles (presales, consulting, advisory) indicates strong communication, negotiation, and stakeholder management skills. Leadership roles in building teams and divisions suggest capabilities in strategic planning, performance management, and fostering innovation. The project descriptions highlight a results-oriented approach with a focus on delivering measurable business outcomes.