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Chief AI, Analytics & Technology Executive | Enterprise-Scale Platforms, Decision Intelligence & Innovation | Board & C-Suite Advisor | 18+ Patents
I am a Chief AI, Analytics, and Technology Executive specializing in scaling advanced analytics, Generative AI, and Agentic AI from innovation into enterprise-scale platforms that deliver measurable revenue growth, margin expansion, and operational resilience—particularly in regulated environments. I partner with Boards, CEOs, and C-suite leaders to ensure analytics and AI investments are not only cutting-edge, but secure, governable, compliant, and economically material through robust enterprise operating models. My mandate has consistently been to make decision intelligence safe, scalable, and value-accretive at enterprise scale. Over 25+ years, I have led analytics, AI, and technology organizations at global scale across financial services, healthcare, insurance, supply chain, procurement, and enterprise SaaS. My experience spans 0→1 product creation through internet-scale platforms, with Responsible AI, model risk management, observability, and regulatory controls embedded into production systems from day one. I am best known for translating frontier capabilities—advanced analytics, Generative AI, and Agentic systems—into enterprise-grade, revenue-generating platforms, and for leading large-scale transformations that deliver sustained business impact. This includes owning and scaling nine-figure ARR analytics and AI product portfolios and leading a $1B enterprise growth initiative that delivered consistent double-digit CAGR over a decade while operating under strict regulatory, risk, and governance constraints. I currently serve as Managing Principal at ScioIntel LLC, advising medium-to-large multinational enterprises and operating in fractional CAIO and AI-first CTO roles with enterprise ownership. My work focuses on enterprise analytics and AI strategy, platform architecture, executive readiness, go-to-market alignment, and the organizational and cult
Wharton Executive Education
Digital Transformation for CXOs
January 1, 2022 – January 1, 2023
MIT Sloan School of Management
Executive Education, Management and Leadership
January 1, 2008 – January 1, 2009
Boston University
Master's degree, Computer Science
N/A – Present
Indian Institute of Technology, Bombay
Bachelor's degree, Computer Science and Engineering
N/A – Present
CNBC Technology Executive Council
CNBC Technology Executive Council Member
May 1, 2021 – April 1, 2023
GEP Worldwide
Vice President, Artificial Intelligence
September 1, 2020 – April 1, 2024
Clark, New Jersey, United States
ScioIntel, LLC
Managing Principal
September 1, 2019 – Present
Raleigh, North Carolina, United States
SAS
Head of Artificial Intelligence and Machine Learning
February 1, 2018 – August 1, 2019
SAS
Sr. Director, Cognitive Analytics
April 1, 2013 – January 1, 2018
SAS
Director Research and Development
October 1, 2009 – March 1, 2013
SAS
Teragram Director, Research and Development
March 1, 2008 – September 1, 2009
Teragram Corporation
Director of Engineering
July 1, 2005 – February 1, 2008
Teragram Corporation
Senior Software Engineer
July 1, 2000 – June 1, 2005
IBM Almaden Research Center
Research Associate
May 1, 1999 – September 1, 1999
San Jose, CA
Geometric Software Solutions Co. Ltd.
Programmer
May 1, 1996 – July 1, 1996
Mumbai, India
Digital Transformation for CXOs Program
Wharton Executive Education
June 24, 2026 – Present
Corporate Governance: Maximize your Effectiveness in the Boardroom
Wharton Executive Education
June 24, 2026 – Present
Driving Strategic Innovation: Leading Complex Initiatives for Impact
Wharton Executive Education
June 24, 2026 – Present
Management and Leadership
MIT Sloan School of Management
June 24, 2026 – Present
Executive Presence and Influence: Persuasive Leadership Development
Wharton Executive Education
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's career trajectory shows a strong focus on AI and ML, aligning well with an ML Engineer role, albeit at a more strategic and leadership level than a hands-on engineering role. Their diverse experience across different companies and advisory roles indicates adaptability and a broad understanding of various business contexts. However, the lack of specific project details or contributions to open-source projects makes it difficult to assess their direct cultural fit within a purely engineering-focused team without further information on their hands-on technical involvement in recent years.
Soft Skills & Operational Fit
The candidate's extensive experience in leadership roles (VP, Head of AI/ML, Managing Principal, Director) demonstrates strong strategic thinking, decision-making, and cross-functional collaboration skills. Their involvement in the CNBC Technology Executive Council and various executive education programs suggests a commitment to continuous learning and staying abreast of industry trends. The descriptions highlight abilities in aligning AI initiatives with corporate strategy, managing global teams, and driving operational efficiency.