Resume Erich Donahue
Decision Science Product & Data Platform Leader
I build decision tools: forecasting workflows, dashboards, pipelines, and practical data products that turn messy signals into clearer choices.
Decision-science product and data-platform leader with 15+ years across The Walt Disney Company and Capital One, spanning resort demand forecasting, digital product analytics, payments, lending, and regulated financial services. I modernize legacy analytical systems into maintainable Python, SQL, cloud, CI/CD, and BI workflows that improve data freshness, reliability, adoption, and decision speed.
Orlando, FL area
- Current
- Disney Experiences decision science
- Previously
- Capital One analytics leadership
- Core stack
- Python, SQL, Snowflake, Oracle, Tableau
- Base
- Orlando, FL area
Senior Decision Science Product Consultant
Sep 2024 – Present The Walt Disney Company — Disney Parks & Resorts / Disney Experiences
- Support and help maintain the data-product backbone for resort demand forecasting, dashboards, analytics, and internal reporting, serving 50+ internal users across three teams.
- Led a year-long modernization that retired all 58 legacy SAS jobs and the supporting SAS server footprint, replacing its compute, messaging, storage, and scheduling needs with modern cloud services.
- Built the replacement architecture on Python-based GitLab CI/CD pipelines integrated with Snowflake, Oracle, Tableau, Docker, and Linux; just-in-time pipeline triggering and automated Tableau deployment improved data freshness and got data to users sooner.
- Maintain and enhance 60+ Tableau dashboards spanning mixed analytical and reporting use cases.
- Provide technical enablement, triage, training, and troubleshooting for internal users of a web-based forecasting application and its surrounding data products.
- Use AI-assisted development tools — Cursor, Claude Code, Codex, GitHub Copilot, and Microsoft Copilot — as human-reviewed acceleration for refactoring, documentation, test scaffolding, and delivery quality.
Analysis Manager
Jan 2019 – Sep 2024 Capital One — McLean, VA
- Managed a team of six analysts supporting a 300+ person digital product organization of product managers, with pods of engineers, designers, and project managers.
- Owned analytics delivery across feature launches, controls, monitoring, and executive and product reporting.
- Established governance procedures for departmental analytic controls, scripts, recurring reports, and production-facing data assets.
- Led standardization of API and clickstream data across GA4, Snowplow, Adobe Analytics, and Tealium.
- Directed data pipelines for controls and executive reporting, and operations for the batch migration of 6M+ customers to a new money-movement platform vendor.
- Built PySpark machine learning challenger models for rules-based systems and analyzed profitability, customer impact, and fee structures for digital features.
- Hosted a 100+ person internal analytics community meetup.
Principal Data Analyst
Aug 2014 – Jan 2019 Capital One — McLean, VA
- Built automated monitoring and alerting using Tableau, custom Python web apps, real-time Slack webhooks, Splunk, Kibana, Grafana, and Google Analytics.
- Developed and taught full-day courses on Snowflake, Teradata, Hadoop/Hive, and AWS to 100+ data users; led a cloud migration of processes and terabytes of data.
- Modeled legal liabilities for securities claims and valuation analytics under a Sarbanes-Oxley control framework.
Senior Data Analyst / Data Analyst
Nov 2010 – Aug 2014 Capital One — McLean, VA
- Lead analyst for mortgage loss forecasting on a $200B+ portfolio; developed and validated SAS survival models on Linux.
- Produced and validated inputs for OCC/FDIC regulatory exams, Federal Reserve stress tests, and public credit loss metrics.
- Led replacement of a legacy database with a Third Normal Form relational model using Teradata SQL, SAS, and UNIX and supported the ING Direct acquisition integration.
Early Career — Branch Operations & Financial Services
2009 – 2010 Chevy Chase Bank, a Division of Capital One — La Plata, MD
- Managed branch operations and staff through the Chevy Chase Bank to Capital One transition, including audit readiness, cash controls, and front-line customer operations.
Current hands-on
- Python
- SQL
- Snowflake
- Oracle
- GitLab CI/CD
- Docker
- Linux
- Git
- Tableau
- VS Code
- Automated deployment
- Documentation
Prior / working knowledge
- AWS
- Databricks
- Teradata
- Spark/PySpark
- R
- Looker
- GA4
- Adobe Analytics
- Snowplow
- Tealium
Product & decision-science practice
- Forecasting workflows
- Demand modeling
- Data governance
- Controls
- Dashboard ecosystems
- Stakeholder enablement
- Executive storytelling
- Stakeholder intake and prioritization
- Internal product operations
AI-assisted development
- Cursor
- Claude Code
- Codex
- GitHub Copilot
- Microsoft Copilot
Selected public projects across music, hardware, data, and local-first
software.
Discogs Spinner
Local-first Python desktop/web/CLI app for vinyl collectors; syncs Discogs collection and wantlist data, supports random album discovery, collection trends, collection health, and export/share workflows.
GitHub ↗ FxPatchSDK / Endless DSP
C++/DSP experimentation for the Polyend Endless pedal, with custom effects, validation scripts, documentation, compiled artifacts, and local build workflows.
GitHub ↗ Endless Loader
Mobile-friendly Python web server for Raspberry Pi and Ubuntu-family Linux that browses .endl patches, discovers and mounts a connected Polyend Endless pedal, loads selected patches, and verifies writes with read-back hashes.
GitHub ↗ Home lab & hardware systems
4-node Raspberry Pi cluster, Zimaboard server experimentation, ESP32/Arduino sensor networks, Home Assistant integrations, Linux automation, and local LLM experimentation with Ollama/OpenWebUI.
- Coursera / Johns Hopkins University — Data Science Specialization, 2015
- University of Maryland Global Campus — B.A. Computer & Information Science, 2014; B.A. Accounting, 2011
- University of Maryland, College Park — B.A. Economics, 2009