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Head of Health Data Product | Healthcare ML & AI Transformation | Strategy & Innovation | Mentor | Angel Investor & Advisor
Client-facing product and data strategy executive driving ML/AI and analytics innovation across regulated industries, with deep focus in pharmaceutical and healthcare. I align data monetization, RWE-driven insights, and privacy-forward technology with commercial strategy to unlock growth and modernize market engagement. Collaborative builder of teams, platforms, and long-term capability.
NYU Stern School of Business
MBA, Finance
N/A – Present
MIT Sloan School of Management
Artificial Intelligence: Implications for Business Strategy
N/A – Present
The Graduate Center, City University of New York
PhD Level Courses, Clinical Psychology
N/A – Present
Design Thinkers Academy
https://www.designthinkersacademy.com
N/A – Present
Tel Aviv University
B.A., Quantitative Sociology and Anthropology
N/A – Present
WBL (Women Business Leaders of the US Health Care Industry Foundation)
Member
August 1, 2025 – Present
Acxiom
Acxiom Health – Head of RWD Health Product
September 1, 2024 – Present
DeepIntent
Senior Director, Health Marketing Sciences
January 1, 2021 – January 1, 2024
New York, United States
Academic Institutions
Guest Lecturer and Adjunct Professor
January 1, 2020 – Present
New York City Metropolitan Area
Cigna
Managing Director, Data Science
January 1, 2019 – January 1, 2021
Greater New York City Area
Comcast
Executive Director, Data Science
January 1, 2018 – January 1, 2019
Philadelphia, Pennsylvania, United States
SteppeChange
Head of Machine Learning Solutions
January 1, 2015 – January 1, 2018
Palo Alto, CA
MasterCard
Vice President, Strategy and Operations
January 1, 2008 – January 1, 2015
Greater New York City Area
Citigroup
Vice President, Decision Management
January 1, 2002 – January 1, 2007
New York, NY
Cultural Fit Analysis
The candidate's diverse experience across finance (Citigroup, MasterCard), telecommunications (Comcast, SteppeChange), and healthcare (Cigna, DeepIntent, Acxiom) demonstrates adaptability and a broad understanding of different industry challenges. Their involvement in academic lecturing and continuous education (MIT Sloan, Design Thinkers Academy) suggests a proactive approach to learning and knowledge sharing. The 'Member' role at WBL indicates an interest in professional networking and industry engagement. The candidate's profile aligns with a senior leadership role requiring strategic vision, team building, and cross-industry applicability of data science principles.
Soft Skills & Operational Fit
The candidate demonstrates strong leadership, strategic thinking, and communication skills through their extensive experience in managing large data science teams, shaping product strategy, and engaging with clients and academic institutions. Their roles consistently involve operationalizing data science initiatives and driving business impact. The descriptions highlight an ability to build departments from the ground up and lead cross-functional taskforces, indicating strong organizational and collaborative capabilities.