Glen F.

About Glen F.

AI Leader with a track record of building organizations from zero to market impact across healthcare, fintech, and SaaS. Known for translating emerging AI capabilities into revenue growth, operational efficiency, and competitive advantage.Over 15 years of leadership experience spanning technical strategy, organizational scaling, and cross-functional partnerships. Built multiple AI/ML functions from 0-1, driving measurable business outcomes including 3x opportunity growth, 40%+ customer retention improvement, and 2x operational throughput gains.What Drives Impact:Organizational Builder-Founded and scaled AI divisions at three companies, establishing technical foundations, hiring strategies, and operational frameworks that enabled rapid growth. Track record of growing teams, expanding service offerings, and scaling COEs with 3x opportunity expansion.Business Growth Catalyst-Transformed product economics through strategic AI deployment, delivering 40%+ retention improvements, 5x prediction accuracy gains, and infrastructure systems handling millions of daily requests. Experience managing $5M+ in strategic funding and partnerships.Cross-Functional Leader-Partner effectively with clinical operations, commercial teams, product organizations, and C-suite stakeholders to drive enterprise-wide initiatives. Proven ability to translate complex technical capabilities into business strategy that resonates across functions.Technical Depth as Strategic Advantage-Deep expertise in AI/ML, NLP/LLMs, and scalable systems architecture enables me to identify market opportunities early and assess technical feasibility accurately, reducing execution risk and accelerating time-to-value.Industries: Healthcare/Pharma, Financial Services, SaaS, BiotechTechnical Foundation: Python ecosystem, ML/AI platforms, MLOps, Cloud Architecture, LLMs/NLPLet\'s connect to explore how AI can transform your business trajectory.

Experience

1. Director, Data Science & Ai

   Firstparty

   May 2025 — Present · New York, NY, US

   Leading AI capabilities for financial data enrichment, categorization, and analysis. • Establishing software and data engineering best practices across the organization while architecting SDK for financial data backtesting to enable product expansion and architecting and building a system to enable data enrichment at scale.

Education

• NYC Data Science Academy

  Bootcamp, Data Science

• Indiana University Bloomington

  Ph.D., Physical Chemistry

  2004 — 2010

• Marist University

  B.S., Chemistry and Biology

  2001 — 2004

Skills

• Data Analysis
• Research
• Mathematics
• Linux
• Teaching
• Nanotechnology
• Fortran
• Writing
• Science
• Analysis
• Excel
• Catalysis
• Simulation
• Powerpoint
• Access
• Word
• Technical Writing
• Chemistry
• Python
• High Performance Computing
• Microsoft Office
• Computational Materials Science
• Materials Science
• Written & Oral Presentation Skills
• Organized Multi-Tasker
• Enthusiastic Self-Starter
• Simulations
• Nanomaterials
• Spectroscopy
• Computational Chemistry
• Scientific Computing
• Biochemistry
• Molecular Dynamics
• Surface Chemistry
• Quantum Chemistry
• Biophysics
• Physics
• Electrochemistry
• Physical Chemistry
• Data Science