My responsibilities include architecting, development, and ongoing management of data solutions. I lead a team to create our Clinical (UM/CM) data store to enable expedient and accurate reporting and analysis with data related to the Utilization/Care Management systems, Emergency Medical Records, Health Information Exchange, and Social Determinant of Health sources. The Clinical data store works in tandem with IT’s Claims data store to allowing for the advancement of the enterprise data strategy related to clinical information systems. I designed the data store to scale out for easy integration of new clinical systems and markets. Our team maps the data from clinical systems to the reporting and analytics data architectures to support company-wide analytics and reporting. Metrics such as turn-around time, approval rates, authorization life cycle, and staff productivity are driven from of the data store. I work with Clinical leadership and our data governance team to standardize and validate the clinical data to ensure more consistent reporting and analytics. My team documents clinical data flows, database architecture, and metadata. Recently, I began collaborating with Clinical leadership on methods to streamline and improve our clinical processes and front-end application to improve data integrity and metric precision.

I managed the Population Health Reporting Analysts to support business intelligence and reporting for our market and enterprise teams. My team was instrumental in leveraging data and technology to deliver enhanced self-service solutions and increased visibility to data through visualization tools. Our team helped created the foundational design for our Clinical operational reporting.

I am the tech lead/solutions architect for several projects that use 3rd party and in-house natural language processors. In this role, I gather product requirements and lead the teams with the technical approaches that build machine learning extraction routines to extract entities and their relationships from millions of news and legal documents an hour. I helped design and build the big data (high performance compute cluster) repository to store and manipulate the trillions of tuples generated from this process. The entities and relationships are then used to enrich the content for our flagship product. Other algorithms I have designed create “inferences” from a cluster of entities to give more confidence to the recall and precision (f-score) of the extractions. The result is then used to reduce noise in the data created by false positives.I worked with the global sales and marketing groups to consolidate all global data into a single mastered data system. The system increased the reliability, reporting, and data analytics of contact information, purchase history, organization financials. The system decreased marketing’s campaign management list generation from a couple weeks to under an hour. Additionally, the data mart provides a much more accurate and robust picture of the company's prospect analytics with new products.I helped design and implement an automated high performance computing cluster solution to extract and resolve entities from billions of news and legal documents. The system has identified, for each of the 10 major entities, over a 100 million mentions each producing several trillion relationship triples. These triples provide the foundation for new analytical products in our company. The system is considered one of the more innovative advancements for our company and provides the data for our flagship product. The new system opened up additional entity search and profiling across the billions of documents managed by the company.

My primary role is Technical Lead for development group. I work with the customers, management, and the data team to determine resourcing levels and project size estimates. My responsibilities include architecture, development, and maintenance of over a 16 terabyte MSSQL data system to track the world's companies and their executives. The system dynamically parses data from 46 live XML and VISF data sources and matches those documents to either a company or an executive. The application has grown from 30,000 companies with 1000 executives to its current 45 million companines and 58 million executives. The application currently tracks over 8 billion attributes on those companies. I improved system reliability from 94% to over 99.8% and created a variety of search algorithms to decrease average search times from 15 seconds down to 2 seconds.

Redesigned a relational database system supporting a three-tier application to support a new Object Oriented application architecture. Analyzed all backend systems and data access points to identify which areas could be reused to decrease the project’s scope and timeframe during the rearchitecture. Responsible for planning and migrating over 1000 customers and 200 vendors with nearly 85,000 total users using a combination of SQL migration scripts and Microsoft DTS packages

I consulted in the position of Database Architect for a large document management provider to enhance system performance, upgrade the necessary system components, and establish a better structure and plan for the company's system manageability. The NT environment was originally composed of around 80 NT servers, over 100 Microsoft SQL Servers, several Oracle Servers, and 6 major web and client-server applications. There were approximately 1000 users of the environment. I separated the company's systems into either web servers, application servers, or data servers by moving applications onto and off of machines specific to its function and load. I was then able to load balance the system work within each functional area to provide better system response time and system resource usage. I redesigned the MS SQL data server environment to condense 115 MS SQL databases across 45 dataservers into three production-staging environments to support development, certification, and production.