Executive data product portfolio
Ted Edmunds - Data Product Leader
Building healthcare analytics platforms, commercial data products, and executive dashboards that help leaders see risk, quality, spend, and AI readiness clearly enough to act.
This portfolio is built for regulated, data-intensive organizations, with healthcare as the primary domain and banking, insurance, and enterprise platforms as adjacent examples where trusted metrics, governance, security, and adoption matter as much as the interface.
Leadership signal
Data products that turn complexity into operating decisions
Featured case studies
Healthcare-first data products for regulated industries
The portfolio leads with a real public FDA AccessGUDID data product to show healthcare analytics, public-data ingestion, governance, API design, and executive dashboard thinking in one polished case study.
Featured project
FDA Device Intelligence Platform
A public-data intelligence product built around FDA AccessGUDID releases, Python ingestion, SQLite analytics, an Express API, and a dashboard experience.
Shows how public FDA data can become a decision-support product for supply chain, manufacturers, regulatory, and analytics teams.
What hiring managers should see fast
Banking data product
Modern Bank Data Platform
A flagship banking data product demo for executive KPIs, complaint analytics, credit risk visibility, governance, and AI-ready data foundations.
Shows how data product management, medallion architecture, semantic metrics, and governance turn banking data into board-ready decision support.
AI governance product
AI Data Catalog / Governance Demo
A governance product surface for dataset discovery, ownership, quality scoring, lineage confidence, and approved AI use cases.
Connects metadata management to practical AI enablement for enterprise analytics, insurance, healthcare, and risk teams.
Target roles
Where this work creates value
Healthcare
Regulatory intelligence, market signals, provider and patient-access analytics
Banking
Customer 360, risk visibility, data quality, consent-aware AI readiness
Insurance
Claims operations, policy intelligence, fraud signals, member journey analytics
Enterprise data
Catalogs, lineage, executive metrics, platform adoption, governed self-service
What I build
Analytics products for regulated enterprises
Data products
Reusable datasets, KPIs, and workflows that business teams can trust, adopt, and manage.
Executive dashboards
Decision-ready views for growth, risk, quality, compliance, and operating performance.
AI-ready platforms
Data foundations shaped for quality, consent, lineage, evaluation, and governed AI use.
Governance and lineage
Ownership, controls, traceability, and plain-English confidence signals built into the product.
Secure multi-tenant analytics
Portfolio patterns for protected data access across teams, domains, and regulated use cases.