
Results-driven technology executive with two decades of expertise in data analytics and innovative product development. Spearheaded generative AI and Agentic initiatives that enhanced customer satisfaction and reduced churn, contributing to $100 million in annual EBITDA. Experienced in product management and data science, with a focus on strategic planning and funding acquisition. Led diverse teams of over 50 data scientists, engineers and product owners to advance product and experience innovation.
● Enterprise Product & Engineering Delivery: Established product owner/product manager framework, securing capital and resources to accelerate delivery
● Product Consolidation & Cost Optimization: Led platform consolidations for VOC product, delivering ~$2M in immediate OPEX/CAPEX savings Modernized AI architecture to minimize technical debt, projecting a $20M-$50M OPEX reduction over 5 years
● Cross-Functional Stakeholder Influence & Governance: Proficient at aligning priorities and strategic decision-making across highly diverse business lines
● High-Stakes Escalation & Conflict Resolution: Adept at managing difficult stakeholders by establishing objective data-driven alignment, and defusing complex cross-functional bottlenecks
● Budgetary Leadership: Proven track record of steering multi-million dollar projects under budget by actively guiding engineering teams toward lean, high-efficiency technical designs and maintaining high-velocity execution without compromising product capability
● Data Science & BI Strategy: Expertise in building predictive models, Business Insights & Analytics and modern AI platforms
● Talent Scalability & Empathetic Leadership: Proven track record of building and scaling elite teams Recognized for creating an ownership-driven culture that attracts top-tier talent, accelerating time-to-market by 50%, and aligning individual career growth with aggressive company milestones
LLM orchestration framework (LangChain, LangGraph & RAG), MLOps & Cloud Architecture, Predictive/Statistical Analytics (Python, R, PySpark), GenAI & Prompt Engineering (Gemini, Claude), AWS Redshift, Teradata, Big Data (GCP), Oracle, MS SQL Server, Tableau, QlikView.