Andrew Eichenbaum

About Andrew Eichenbaum

Data Science Executive with a 20+ year track record of delivering over $300M in measurable business impact through AI, analytics, and data platform strategy. I specialize in building high-performing, global data organizations from the ground up—growing teams from zero to 45+ while securing the funding and cross-functional buy-in necessary to scale.My career has bridged the gap between deep technical research and executive leadership. I began by performing post-graduate research at the Stanford Linear Accelerator, delivering world-accurate measurements of subatomic particles. Today, I translate that same scientific rigor into bottom-line results for organizations like Autodesk, Intel, and Intuit, as well as high-growth startups like Yummly.I am a builder who values long-term strategy, low-politics environments, and the challenge of turning complex data into a competitive advantage.Core Expertise- Strategic Leadership: Defining data roadmaps and AI/ML visions that align with C-suite objectives- Scaling Organizations: Recruited and mentored teams across Data Science, Analytics Engineering, and Data Governance- Innovation & ROI:$100M+ annually in sales prioritization lift and $50M+ in piracy identification at Autodesk- Diverse Domains: Proven success in Biotech, Direct-to-Consumer, SaaS, and Fintech.

Experience

1. Sr Director of Data Science

   BioMADE

   Apr 2023 — Present · Emeryville, CA, US

   First hire brought in to architect and scale the national data strategy for the U.S. bioindustrial manufacturing ecosystem. Secured $15M of the team\'s $22M total funding to drive innovation and infrastructure- Scaling from 0 to 1: Recruited and led a high-performance team of 20+ professionals, including software engineers, data scientists, and specialized consultants across 5 strategic initiatives- Platform Delivery: Successfully launched 3 distinct data platforms in under 3 years, enabling cross-partner search, discovery, and advanced R&D analysis for the BioMADE member network- National Leadership: Partnered with senior government and industry stakeholders to establish the long-term data roadmap and technical standards for the entire U.S. bioindustrial manufacturing sector- Product Lifecycle: Directed end-to-end product development—from initial requirements gathering and architecture to user testing and full-scale deployment—ensuring alignment with diverse member needs.

Education

• Rutgers University

  B.S., Physics

  1994 — 1998

• University of Wisconsin-Madison

  M.A., Physics

  1998 — 2000

• University of Wisconsin-Madison

  PhD., Physics

Skills

• Algorithms
• Natural Language Processing
• Personalization
• Data Mining
• Search
• Analytics
• Artificial Intelligence
• Web Analytics
• Machine Learning
• R&D
• Data Analysis
• Java
• Javascript
• Programming
• Linux
• Mysql
• Statistics
• Text Mining
• Databases
• Mathematics
• Research
• Web Development
• Web Services
• Oop
• Scalability
• Data Science
• Business Intelligence Tools
• Business Intelligence
• Etl
• Big Data
• Start-Ups
• Hadoop
• Consulting
• Business Development
• Data Warehousing
• Software Development
• Sql
• Management