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Senior Executive – Enterprise AI, Data & Decision Science: Business Transformation | AI & Decision Science Strategy | Scalable, Governed AI Solutions | Lean Six Sigma Black Belt
Enterprise AI, data, and business transformation executive with 20+ years of global leadership and hands-on experience designing and operationalizing enterprise-scale AI and decision science strategies and products that deliver measurable, recurring business impact. Proven track record of building and leading high-performing global AI and data science organizations, deploying scalable and governed AI platforms, and embedding AI-driven and prescriptive decision systems directly into core business processes and operating models. Trusted advisor to C-suite leaders, recognized for translating complex AI and data science capabilities into practical, ethical, and risk-aware AI solutions that reshape how enterprises operate, make high-stakes decisions, and monetize data across asset-intensive and regulated industries including manufacturing, logistics, chemicals, energy, life sciences, and financial services.
Boston University
Master of Science (M.S.), Computer Information Systems
January 1, 2014 – January 1, 2017
Penn State Smeal MBA Program
Master of Business Administration (MBA), Logistics, Materials, and Supply Chain Management
January 1, 2009 – January 1, 2011
Beijing International Studies University
Bachelor of Business Administration (BBA), Marketing
January 1, 2000 – January 1, 2004
Nouryon
Global Director Data Analytics
May 1, 2022 – April 1, 2026
Houston, Texas, United States · On-site
Accenture
Data Science Manager
February 1, 2019 – May 1, 2022
Greater Houston · Hybrid
Carlisle Construction Materials
Corporate Transportation Process Manager
June 1, 2011 – February 1, 2019
Carlisle, Pennsylvania, United States · On-site
Penn State University
Graduate Assistant in MBA Admissions
August 1, 2009 – May 1, 2011
State College-DuBois Area · On-site
China Ocean Shipping Company (COSCO)
Managing Executive
March 1, 2005 – July 1, 2009
Xiamen, Fujian, China · On-site
CMA CGM
Customer Service Representative
July 1, 2004 – February 1, 2005
Xiamen-Zhangzhou Metropolitan Area · On-site
Generative AI with Large Language Models
Coursera
June 24, 2026 – Present
AWS Certified Cloud Practitioner
Amazon
June 24, 2026 – Present
Smart Contract
Coursera
June 24, 2026 – Present
Blockchain Basics
Coursera
June 24, 2026 – Present
Spatial Data Science and Applications
Coursera
June 24, 2026 – Present
Introduction to Deep Learning & Neural Networks with Keras
Coursera
June 24, 2026 – Present
Convolutional Neural Network
Coursera
June 24, 2026 – Present
Structuring Machine Learning Projects
Coursera
June 24, 2026 – Present
Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
Coursera
June 24, 2026 – Present
Neural Networks and Deep Learning
Coursera
June 24, 2026 – Present
Apache Spark 2.0 with Scala - Hands on with Big Data
Udemy
June 24, 2026 – Present
Lean Six Sigma Black Belt
Penn State Smeal College of Business
June 24, 2026 – Present
Machine Learning A-Z: Hands-on Python & R in Data Science
Udemy
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's diverse experience across multiple industries (chemical, consulting, manufacturing, logistics) and roles (director, manager, process manager) suggests adaptability and a broad perspective. Their involvement in establishing Centers of Excellence and driving data-driven culture indicates a proactive and collaborative approach. The extensive list of certifications in AI/ML, cloud, and big data shows a commitment to continuous learning and staying current with technology trends, which aligns well with innovative and growth-oriented cultures. However, the target role of 'Data Analyst' might be a mismatch for their extensive leadership and strategic experience in AI/ML and data science, potentially leading to underutilization of their advanced skills.
Soft Skills & Operational Fit
The candidate's experience as a Global Director Data Analytics and Data Science Manager demonstrates strong leadership, strategic thinking, and cross-functional collaboration skills. Their history of building and scaling teams, advising executives, and leading complex projects indicates excellent operational fit for roles requiring strategic vision and execution. The descriptions highlight a results-oriented approach with a focus on ROI and value creation.