MICHAEL KAUSHANSKY
Chief Data Officer & President Helia, Havas, North America

Michael Kaushansky serves as Chief Data Officer & President Helia for Havas, North America. In this role he has direct oversight and responsibility for the agency’s data, analytics, and marketing technology and Michael is responsible for managing and advancing Helia – Havas’s Relationship Marketing / CRM agency focused on managing, extracting insights, and activating consumer data on behalf of our clients through direct channels. Michael sets the agency’s overall approach to data strategy, measurement including the analytics capabilities that are a bedrock of Havas overall delivery to clients and provides insight into the continued evaluation of our suite of marketing effectiveness products. His hand selected team of data scientists and data engineers works very closely with the planning, buying and research groups ensuring the insights and data approach aligns with a client’s business objectives.

Michael has been involved in the field of data, analytics and business measurement for nearly two decades with a strong focus on consumer insights, media effectiveness, statistical modeling, marketing mix modeling and digital marketing analysis. Highlights include the development of a 360 degree media mix models, implementation of a digital attribution, deployment for full-funnel optimization processes and specialized reporting and visualization dashboard to enable immediate and meaningful sharing of results, clients include: AutoZone, Choice Hotels, Liberty Mutual, NFL, Sears/Kmart and Dish Network.

Kaushansky has held roles of increasing responsibility at GE, Target and GSK. Most recently, Michael led all marketing analytics at Ogilvy where his work spanned several leading global brand advertisers including UPS, IBM, Nestle, Cisco and SAP.

Kaushansky holds a Bachelor’s degree in Mathematics from Creighton University and a Master’s of Science degree in Applied Mathematics & Operational Research from Creighton University. Michael is an advisor to Rutgers University’s Big Data graduate program. Michael makes his home in New York City with his family and two daughters.