Daniil Mosin
AI/ML Enterprise Product Leader | Driving Innovation & Operational Excellence Through AI-Driven Solutions at Scale | 15+ Years in Digital Strategy, AI and Data
- Role
- Principal at MathCo
- Location
- Jersey City, NJ, US
- LinkedIn followers
- 500 followers
About Daniil Mosin
Results-driven digital and AI executive with extensive global experience leading AI/ML-enabled digital product strategy and implementation on enterprise scale across financial services, consumer goods and retail. Proven track record in defining and executing value-driven AI-powered product roadmaps that drive revenue growth and bottom-line impact. Experienced in scaling digital platforms, leading multi-disciplinary teams, and delivering measurable business outcomes — including $100M+ value creation through AI- and data-driven transformation programs. Hands-on experience in leading teams to build and scale dozens of AI agents and AI/ML products for Fortune-500 companies. Recognized for strategic vision, cross-functional leadership, and the ability to navigate complex enterprise environments to deliver innovation at scale.
Experience
Principal
Sep 2024 — Present · Jersey City, NJ, US
Owning end-to-end product lifecycle (from strategy to value capture) and leading teams of product leaders, data scientists and engineers to build enterprise AI/ML-powered digital products at scale enabling the largest North American Retail and Consumer Goods companies to harness the power of AI/ML and advanced analytics, driving improved business performance- Leading a team of 40+ product managers, data scientists, AI and software engineers to drive AI and analytics transformation for Fortune-500 Consumer Goods company, working directly with the CxO team to shape and implement AI product roadmap, building custom products enabled by AI agents, forecasting, attribution and optimization models, and introducing next-generation AI and data-driven decision-making to drive better business performance- Led the end-to-end build and deployment of an enterprise AI product suite for a major Canadian grocery retailer, covering price optimization, churn prediction, ultra-personalization, dynamic pricing, and other core commercial use cases—driving adoption at scale across marketing and merchandising- Partnered with two North American retail media networks to develop AI-driven advertising and measurement products, including a standardized performance-measurement framework and multi-touch attribution engine that improved campaign decision-making and customer experience across digital channels.
Education
Southern Federal University (former Rostov State University)
Bachelor of Applied Science (B.A.Sc.), Mathematics and Computer Science
2006 — 2010
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