Enterprise Data Architect Resume

SUMMARY:

Actuarial Modeling in the ACO/MCO Space Supporting Capitated Rate Setting
Big Data
Enterprise Data Warehouse Design and Implementation
BI Infrastructure and Analytics
Expertise in Healthcare Economics and Population Health
Supported Cost Based Analysis of Several State and Federal Mandates including Mandates in Maine, Massachusetts, New Hampshire and Vermont
Extensive Population Health Analytics and Analysis Experience
Multiple EMR s (Meditech, Epic, AthenaHealth)

PROFESSIONAL EXPERIENCE:

Confidential

Enterprise Data Architect

Responsibilities:

Enterprise Data Warehouse and Data Mart Design in Complex Clinical Environment
Data Modeling and BI Universe Scope (SAP, ErWin, Embarcadero, Epic CDW, SAS)
Multiple System Integration and Cross Business Interoperability
Data and Measurement Standardization - Readmission analytics and specification, Length of Stay Assessment and Definition, Quality Data Mart Design and Implementation
Enterprise Measure Management, EMR Standardization and Measure Modeling (Meaningful Use, ACO, HVHC, MSSP, Clinical Quality, Core Measures, Patient Satisfaction and Patient Safety.)
Heavy SQL Server Based Design, Implementation, Data Modeling and ETL Data Flow Creation
Heavy SQL Server Based QA, QC, Master Data Management, Data Quality Analytics and Database Regression Testing

Confidential

Consultant - Senior Programmer/Analyst, Analytics Manager

Responsibilities:

Managed Team of (5+) Programmers and Analysts during EDW Design and Implementation in Big Data Environments
Disparate Systems Integration
IT Network Architecture and Implementation
BI Data Analytics and Forecasting/Analytical Modeling
Decision Support Reporting and Data Mart Solutions
ACO Actuarial Modeling and Actuarial Support
Heavy SAS Based Data Processing, Data ETL, Data Analytics and Forecasting
Significant SAS Based Regression Analytics and Actuarial Data Modeling
Heavy SQL Server Based Design, Implementation, Data Modeling and ETL Data Flow Creation
Significant Work with Oracle, including Data Modeling, ETL Development and QA/QC Processing