Ira Haimowitz

Hello, my name is Ira Haimowitz; I am an Adjunct Professor at Clarkson University. For over two years I have been the Vice-President of Product Strategy at Crossix Solutions, Inc. In this role, I help accelerate new product innovation for Crossix’s range of healthcare targeting and measurement solutions. I also enhance client delivery as a subject matter expert. Our clients at Crossix include major pharmaceutical companies (Merck, Novartis, Pfizer, AstraZeneca, etc.) as well as leading media agencies (WPP, Interpublic, Publicis, etc.)

Prior to joining Crossix I have had more than 20 years of leadership and consulting expertise developing innovative analytics solutions for sales and marketing across industries. For three years I was Principal, Team Leader of Product Development within Information Research Inc. (IRI), which services consumer packaged goods clients including Pepsico, L’Oreal, Proctor & Gamble, and many others My group's impactful solutions included media planning and optimization, cross-channel campaign measurement, brand and category forecasting, price and trade analytics, and marketing mix analyses. I’ve also led analytics departments for six years at digital and direct marketing agencies CementBloc and Wunderman.

In addition, I have also spent 13 years on the manufacturer side, leading analytics teams at pharmaceutical companies Pfizer and Organon (now Merck), as well as General Electric Research and Development. In these roles I have supported large sales forces with targeting and tracking solutions, has deployed digital media and website analytics platforms, and analyzed consumer shopping patterns at major retailers.

I am a frequent industry speaker and author in healthcare and analytics forums. I have also served as President of the Pharmaceutical Management Science Association.

I live in New York, NY with my wife Barbara and my three children, Nathan, Eva, and Deborah. I enjoy jogging, golf, and sporting events. On top of my reading list are historical biographies and popular science.

Education

• Ph.D. Massachusetts Institute of Technology
• M.Phil University of Cambridge
• S.B. Massachusetts Institute of Technology

Companies

• Senior Manager/Product Owner, Strategy and Analytics Deloitte Consulting (2021)
• Senior Vice President, Analytics Solutions and Insights Medicx Health (2020 — 2021)
• Executive Vice President, North America, Global Intelligence Weber Shandwick (2019 — 2020)
• Vice President, Product Strategy Crossix Solutions (2016 — 2019)
• Adjunct Faculty Clarkson University School of Business Graduate Programs (2014 — 2019)
• Principal, Product Management, Media Center of Excellence IRI (2012 — 2016)
• Part Time Lecturer Rutgers Business School (2012 — 2012)
• Executive Vice President, Multi-Channel Operations and Analytics The CementBloc (2009 — 2012)
• Vice President, Group Director Wunderman (2007 — 2009)

Publications

Selected Publications

“Applying Real-World Evidence Programs for Measuring Pharmaceutical Digital Media Programs,” Journal of the Pharma Mgmt. Sci. Assn, Spring, 2018

“The Future of Data-Driven Marketing is Now,” Medical Marketing and Media, July, 2016.

Healthcare Relationship Marketing; masters-level textbook published by Gower Press, March 2011.

“The Science of Eavesdropping (Measuring Online Health Conversations),” Medical Mktg and Media, May 2009.

“Criteria for Evaluating Data Mining Software,” American Pharmaceutical Review, Summer 2004.

J.V. Furtado, I J. Haimowitz, M. Wurst: “Knowledge Discovery in Databases and Agent-Mediated Knowledge Management,” AMKM 2003: Lecture Notes in Computer Science, Springer Verlag 339-350

Ira Haimowitz and Tim Keyes, “Data Mining and Risk Management, “in Data Mining Handbook,Oxford Press, 2000.

R. Alan Bowman, Ira J. Haimowitz, Robert M. Mattheyses, Ayonca Özge, Mary C. Phillips: Discrete Time Simulation of an Equipment Rental Business. Winter Simulation Conference 1998: 1505-1512

“Integrating and Mining Distributed Customer Databases,” Ira J. Haimowitz, Ozden Gur-Ali, and Henry Schwarz, Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, pp. 179-182, 1997.

“Clustering and Prediction for Credit Line Management”, I. J. Haimowitz and H. Schwarz, Proceedings of the AAAI Workshop on Fraud Detection and Risk Management, pp. 29-33, 1997.

“Temporal Reasoning for Automated Workflow in Health Care Enterprises,” I. J. Haimowitz, J. Farley, G. S. Fields, J. Stillman and B. Vivier, Electronic Commerce, Lecture Notes in Computer Science #1028, Springer Verlag, January 1996.

“Clinical Monitoring Using Regression-Based Trend Templates,” I.J. Haimowitz, P. P. Le, and I.S. Kohane, Artificial Intelligence in Medicine, Vol. 7 No. 6, pp. 473-496, December 1995.