Jose Molinet

About Jose Molinet

AI leader building scalable AI systems that enable organizations to make better decisions and operate efficiently at scale. I focus on transforming data into actionable intelligence, solving problems that sit closest to human decision-making and delivering measurable business impact.For the past 15 years, I’ve led Data Science and AI initiatives that move beyond experimentation into real operational impact, helping organizations anticipate risk, improve customer outcomes, and operate more efficiently. I believe the most valuable AI solutions are those that solve problems closest to human decision-making: reducing manual investigation, surfacing hidden risks early, and allowing leaders and individual contributors to focus their time where it matters most.My work focuses on building AI systems that integrate naturally into business workflows. Predictive models, forecasting, and optimization only create value when they are trusted, adopted, and clearly aligned with how teams operate. Explainability, enablement, and ownership are therefore as important as model performance.I strongly believe impactful AI starts with strong data foundations. Enterprise data quality, governance, and availability determine whether AI becomes transformational or remains experimental. Successful AI initiatives balance data readiness, engineering excellence, and business partnership from the beginning.As a leader, I am passionate about building cross-functional teams where data scientists, engineers, analysts, and business partners work toward shared outcomes. AI should amplify human expertise - not replace it - enabling organizations to scale knowledge, productivity, and decision quality.I am particularly interested in the evolution of AI as an operational layer for businesses, making advanced intelligence practical, scalable, and economically meaningful across organizations- Core Focus -AI Leadership • Scalable Machine Learning Systems • Intelligent Business Operations • Forecasting & Optimization • Building High-Impact Data Teams

Experience

1. Senior Manager, Data Science

   UKG

   Jan 2026 — Present

   Lead data science and AI initiatives focused on building scalable intelligence systems that drive operational efficiency, customer outcomes, and revenue protection across the organization.* Lead a growing team of Data Scientists, ML Engineers, and Data Engineers delivering high-impact AI solutions across Customer Success, Support, Product, Go-To-Market, and Finance organizations.* Primary AI partner for business and executive stakeholders, translating strategic priorities into scalable AI solutions with measurable business impact.* Own the design and coordination of cross-functional AI initiatives, including collaboration with external consulting partners to scale delivery while maintaining technical and operational standards.* Leading the evolution of predictive intelligence capabilities, including revenue-at-risk prediction, forecasting, churn prevention, and expansion opportunity modeling.* Drive adoption of AI solutions through clear business alignment, explainability, and operational integration to ensure measurable outcomes beyond model deployment.

Education

• Vocational High School Institute of Exact Sciences Vladimir Ilich Lenin

  High School, Theoretical and Mathematical Physics

  2003 — 2004

• Universidad de Oriente. Cuba

  Bachelor of Science (BSc), Computer Science

• Centro de Investigación y de Estudios Avanzados del IPN

  Master of Science (MSc), Computer Science

Skills

• Windows
• Amazon Dynamodb
• Strategic Planning
• Evolutionary Algorithms
• English
• Python
• Scrum
• Data Structures
• Customer Service
• Mysql
• Data Mining
• Teaching
• C
• Optimization
• Public Speaking
• Photoshop
• Pattern Recognition
• Numerical Analysis
• Artificial Neural Networks
• Golang
• Matlab
• Negotiation
• Microsoft Office
• Algorithms
• Database Systems
• C++
• Research
• C#
• Neural Networks
• Java
• Html
• Artificial Intelligence
• Computer Science
• Budgets
• Design Patterns