New York, New York, United States
Michael builds and scales growth generating AI tech investments for enterprise transformation. He specializes in transforming businesses with data-driven management systems and building brands, communications, and teams for optimal business value. He is experienced at bringing consumer data technologies to market and leveraging corporate development strategies and equity based collaboration agreements to accelerate speed to market and align multi-partner incentives. Notable Accomplishments:The creation of the AIOS business within a PE back hold co. from 0-30M business value in 18 months, AIOS is a first of its kind Intelligent All-in-One System for Marketing, which generates a comprehensive view of the customer journey. AIOS enables returns on marketing investments with machine generated influential creative, precision measurement, granular allocation optimization, and seamless marketing activation. It's utilized by several Fortune 100 brands and their agencies for measuring and optimizing their communications to their consumers and the market. Formerly a member of the marketing faculty at the NYU Stern School of Business, Michael has published research at the intersection of marketing, computation, statistics, and economics. His publications apply predictive computation to new and traditional media strategies, social responsibility, food retailing, payment methods, antitrust, and consumer choice. Michael has productized modern scientific contributions in explainable prediction and data synthesis for AI. Michael successfully launched and managed AI and ML products such as "Convertro Unified" at AOL, Verizon, Yahoo (aka OATH), that strengthened Media Platform Sales and Advertiser Relationships. With VC backing from Insight Ventures, EIP, and Zetta Venture Partners Michael led the transformation of Marketing Evolution from a service revenue business into a recurring SaaS product revenue business by building scalable SaaS products and business models to replace services and multiply revenue per employee by 10x while improving customer time to value and feature value by the same quantum. His product innovations have advanced user safety, privacy, and legal compliance, uniquely enhancing customer relationship management, and improving marketing measurement. Michael’s contributions appear in the LA Times, CFO, AdAge, Marketing Brew, MarTech, and several international publications. He’s spoken at The Nantucket Project, Davos, Cannes, ANA Masters of Marketing and Marketing Brew Summit, public radio, top ranked business schools, and many other events.
Bain Advisory Network: AI Transformation & Decision Intelligence: Architect of enterprise-grade "predictive operating systems." Michael builds custom agentic AI and unified data ontologies that synchronize marketing, supply chain, and finance into a single, automated decision engine—moving clients from reactive analytics to proactive execution. AI Due Diligence & M&A Strategy: A specialist in the technical and commercial valuation of AI/SaaS assets. He conducts deep-dive due diligence for Private Equity and holding companies, identifying "pilot purgatory" risks, validating IP defensibility, and mapping post-acquisition synergy through AI-driven margin expansion.
Advisor to the team on AI product go to market, business development and growth.
• Advised the Global CEO and Board of Directors on strategic investments in AI technology and data products. • Develop comprehensive AI strategies that aligned with business objectives, enhancing operational efficiency. • Lead initiatives that increase in AI-driven product adoption within the first year. • M&A steering and sponsorship for strategic corporate development goals
• Created, Built, and Lead GTM for AI MarTech Software Business - AIOS • Built Data Team as a Service Business - Plus Intelligence • AI and Data governance • M&A steering for strategic corporate development for Private Equity and Management owned business
Product, Tech, IT, Marketing, Training, Solution Architecture, Data Partnerships, Tech Ops & Analytics
Head of Product, Tech, Data Partnerships, Tech Ops & Analytics Led ground-up organization build, product build ,and go to market for an enterprise user/consumer data pipeline and implementation UI, automated ML Ops, and four products on top of data platform: audience and customer insights, Data-out reporting for BI, media optimization, and plan activation/experimentation.
Head of Algorithms Engineering and Data Services
Advertising and Marketing technology for data-driven strategic and tactical marketing management
Professor of Marketing Science. Published novel primary scientific research on consumer level cross-channel incremental marketing impact measurement and dynamic advertising investment