Matthew K. Meyer

About Matthew K. Meyer

Twenty-two granted U.S. patents. Three enterprise data platforms built from the ground up. Multiple AI/ML systems that reduced human review, ensured higher quality and drove faster delivery. That\'s the short version. Here\'s the longer one. For the past decade at American Express, I\'ve built the data infrastructure that makes AI possible — not just the models, but the governed, discoverable, lineage-tracked data pipelines that let those models be trusted at scale. My work sits at the intersection of data product management, enterprise architecture, and applied AI, and I hold a PhD in Computer Science to back it up. Recent highlights:* Marketing Data & Analytic Platforms (MDAP) — nine of them to be precise as part of a cross-functional portfolio driving enterprise data product strategy, governance standards, and AI-ready data infrastructure.* Customer Transaction & Transformation Layer (CTTL) — real-time data product allowing for highly secure and governed utilization of data across multiple 3rd party portfolios.* Galileo — an AI/ML system that automated a previously manual scheduling and review process, cutting turnaround from months to weeks.* Universal Marketing Data Layer (UMDL) — a foundational internal data repository with robust governance, standardizing metadata, lineage, and discoverability across thousands of datasets. My 22 patents span three domains: Big Data Platform Infrastructure, Data Governance & Lineage, and Graph Intelligence & AI Personalization — reflecting a career spent not just doing the work, but inventing new ways to do it. I\'m now looking for a senior leadership role where I can bring this experience to an organization that\'s serious about turning its data into a competitive asset — not just collecting it, but making it discoverable, governed, and AI-ready. If that sounds like something you\'re building, let\'s talk.

Experience

1. Director, Marketing Data & Activation Platforms (Mdap)

   American Express

   Jun 2022 — Present · NY, US

   Lead a portfolio of nine enterprise data products that form the governed, AI-ready data foundation for American Express Marketing — spanning data ingestion, metadata management, lineage, real-time decisioning, and cross-channel campaign activation. Supporting $2.2B+ in projected business impact across 2025 initiatives- Launched the Universal Marketing Data Layer (UMDL): a governed, interoperable data access layer delivering discoverable, reusable data assets across Risk, Finance, Corporate, and Marketing organizations — enabling AI and LLM model pipelines at scale; platform supports Amex Offers Expansion ($1B engagement projected by 2027) and ValGen Chat Treatment Expansion ($200M revenue by 2026)- Created TargetIQ to replace Enterprise Intelligence (EI): a compliance-grade, governed environment for the development and deployment of AI/ML models and end-user computing scripts — providing auditability, access control, and model lifecycle management across multiple data science teams- Created the Campaign Tokenization & Transformation Layer (CTTL): automated, compliance-grade encrypted data exchange facilitating $750M+ in annual offer value through Amex Offers and 3rd-party partner integrations- Directed PMO governance across Engineering, Data Science, and global US/India partner teams — owning portfolio roadmap, cross-functional dependencies, executive reporting, and milestone tracking for multi-year data transformation programs.

Education

• Brooklyn College

  Master of Arts (M.A.), Computer Science

  2003 — 2005

• The Graduate Center, City University of New York

  Master of Philosophy (M.Phil.), Computer Science

  2006 — 2012

• The Graduate Center, City University of New York

  Doctor of Philosophy (Ph.D.), Computer Science

  2006 — 2012

• Southern Methodist University

  Bachelor of Fine Arts (B.F.A.), Theater

  1991 — 1995

Skills

• Algorithms
• Microsoft Office
• Javascript
• Html 5
• Ruby on Rails
• Windows
• Higher Education
• Project Management
• Eclipse
• Software Development
• Python
• Webgl
• Opengl
• Software Engineering
• Actionscript
• Matlab
• Php
• Communication
• Android
• Computer Science
• Subversion
• Mysql
• C
• Programming
• Git
• Dom
• R
• Xml
• Databases
• C#
• Oop
• University Teaching
• Xml Databases
• Hadoop
• Machine Learning
• Data Analysis
• Os X
• Objective-C
• Perl
• Research