PROFESSIONAL EXPERIENCE:

Confidential, NC

Technology Account Manager

Responsibilities:

• Manage over 35 accounts from Healthcare, LifeSciences and Public Institutions industries for various IT/technology related needs and solutions. Reporting to senior leadership on status of regional performance, I focus on IT Strategy, IT Planning, Technology Platform Management and Relationship Management.
• Built and developed strong partnerships with business executives and other stakeholders, both internal and external, and collaborated with technology teams and vendors to ensure that the right technology solutions are in place to support evolving business needs.
• Managed a team of Technology Account Managers and Data Managers to define and execute technology and business intelligence initiatives to support clients and account teams.
• Collaborate with business development teams to define and present technology strategy and solutions to support new client pursuits.
• Strategic planning and solutioning of various technologies for my accounts
• Tracked, monitored, and presented executive overviews and updates on technology initiatives and programs.

Confidential, Charlotte, NC

Senior Developer

Responsibilities:

• I was recently assigned a new role that will be solely responsible for management of the Central Repository across the platform for all standardized data including the future integration of item master data and charge master data.
• This repository is focused on the clinical tools space, but will also include the cost space (Purchasing data) in the future.
• Other responsibilities include:Data Modeling,Collecting Business Requirements,Wireframe mockups,Data consolidation, data maintenance,Data deployments via automation or manual,Java development,SQL development

Confidential

Senior Developer

Responsibilities:

• As a Senior Developer within Confidential, I played an integral role with the key mapping tool (Symedical) with respect to maintenance as well as performance optimization within the entire Confidential application on the back end.
• Responsible for project management of Agile software development process often resulting in on time delivery of key deliverables.
• Key decision maker for Symedical application.
• Project cost optimization responsibility.
• Understanding the Central Data Warehouse (CDW) tables and how they interact with the data and the front end User Interface.
• Learning Java programming language.
• Learning the intricate round trip data flow from HL7 message from the member facility to our data warehouse and back to the members.
• Responsible for Reference Data Management (RDM) - the source of truth for the items to be mapped to.
• Installed separate environments of Symedical for Proof of Concept testing.
• Created stored procedures for General Laboratory widget within Confidential application.
• Assisted in troubleshooting breakdowns within our Data Acquisition or Data Integration layers.
• Coordinated with Quality Assurance when testing new features that were implemented, as well as new codes that were entered into the RDM via SQL statements.

Confidential

Clinical Business Analyst

Responsibilities:

• Played an integral role in creating a new process to assess and cleanse the purchase order data from the various hospitals into a uniform and standardized output to be loaded onto our PIMODS and VAGGODS databases.
• Project management of various Sourcing contract categories and other classification schemas. All projects were completed on time.
• Responsible for training new-hires.
• Performed analysis on data extraction for items that were within 80% of spend as well as 80% on contract.
• UNSPSC classification and upgrading all of the PIMODS database to comply with the most current version of the classification schema.
• Created new business rules through the use of Oracle Product Data Quality software (formerly SilverCreek) to format and translate uncleansed data into standardized, cleansed data for each product within PIMODS database.
• Query PIMODS and VAGGODS via complex SQL queries to extract specific data points.
• Attribution of specific product categories and product lines to create standardized outputs, as well as Functional Alternatives and Functional Equivalents of various products for conversion (8 million products within PIMODS).
• Worked closely with Sourcing for product attribution as well as conversion opportunities.
• Creation of different cross references with the help of Sourcing and their Supplier Cross Reference for better RFI/RFP conversions.
• Generated Data Service Applications (DSAs) to extract, standardize, and write to tables the various data within PIMODS via Sourcing contract category, UNSPSC or SupplyLine classification ( Confidential in-house classification).
• Liaised with Sourcing to obtain attribution of the various products needed to create efficient and effective standardized data, as well as acceptable Functional Alternatives/Functional Equivalents.

Confidential

Clinical Data Analyst

Responsibilities:

• This position required a strong emphasis on clinical experience within the hospital setting. Customer service skills were critical in this role as well as data and information management.
• Communicated with hospital consultants about questions that might have arisen during the mapping process and quality assurance issues.
• Engaged in conference calls with the hospital representative and Confidential consultants to help implement hospital installs and helped the client with any additional questions that they might have.
• Traveled to hospital sites to complete data installs.
• Mapped healthcare data to company standards from various not-for-profit hospitals throughout the nation.
• Installed a hospital’s charge master database into the Confidential database from the ground up.
• Performed various search queries using SQL and Microsoft Access to accurately map data and to find anomalies within a hospital’s data.
• Executed hospital data analysis.
• Responsible for quality assurance checks on all managed data from the participating hospitals.
• Ensured that hospitals were as cost-efficient as possible while maintaining optimal healthcare for patients.