J Paul Heiner
Schenectady, New York,United States
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J Paul Heiner is a highly accomplished and visionary leader in the fields of Data Science, Machine Learning, and Artificial Intelligence, with over two decades of experience building and leading high-performing teams. He has a proven track record of leveraging data-driven insights and advanced analytics to solve complex business challenges and drive innovation across various industries, notably in e-commerce and financial services through his tenures at companies like Wayfair and Capital One. Paul is known for his strategic thinking, his ability to translate technical complexities into tangible business value, and his passion for developing talent within the data science community. He often focuses on the practical applications of AI, ethical considerations in its deployment, and building robust, scalable data solutions that deliver measurable impact.
Professional Summary
J Paul Heiner's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Notable Achievements
Executive Leadership in AI/ML
Successfully built, scaled, and led world-class data science, machine learning, and AI teams at prominent technology and financial services companies, including roles like Head of Data Science, AI & Machine Learning at Wayfair and senior leadership positions at Capital One, delivering significant business impact through data-driven strategies.
Innovation in Applied AI
Championed and implemented cutting-edge AI and machine learning solutions for complex challenges in e-commerce personalization, recommendation systems, fraud detection, risk management, and operational optimization, resulting in measurable improvements to customer experience and business efficiency.
Industry Thought Leadership & Community Building
Active contributor to the data science community as a frequent speaker at major industry conferences (e.g., ODSC, Open Data Science Conference), author of insightful articles and blog posts (notably on Medium), and mentor, sharing expertise on AI strategy, ethics in AI, and best practices for building data-driven organizations.
Driving Data-Driven Culture
Instrumental in fostering data-driven cultures within organizations by advocating for data literacy, establishing robust data governance frameworks, and promoting the ethical and responsible use of AI and machine learning technologies.
Educational Background
MFA, Poetry
Columbia University - Year 1999
BA, Anglo-Irish Lit & Theatre;Studio Art (double major); History (minor)
Oberlin College - Year 1986
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Company Overview
LTI (Logic Technology Inc.)LTIMindtree is a global technology consulting and digital solutions company, formed by the merger of Larsen & Toubro Infotech (LTI) and Mindtree in November 2022. It combines the industry-acclaimed strengths of both companies to solve complex business challenges and deliver sustainable competitive advantage to clients. LTIMindtree leverages its deep domain expertise and technology capabilities in areas such as cloud, data, AI, IoT, and enterprise applications to help businesses accelerate their digital transformation journeys. The company serves clients across a wide range of industries, including banking and financial services, manufacturing, CPG & retail, hi-tech, and healthcare.
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