Healthcare Data Architect
AI summary of the role
This is a 3-month contract Healthcare Data Architect role in Richmond, VA, requiring deep Healthcare Payer experience from specific major insurers.
What you’ll do
- Develop Healthcare Insurance enterprise data architecture for operational data stores, MDM, integration data stores, data warehouses, analytics hubs and data marts.
- Perform detailed data analysis and verify natural keys through SQL queries against source databases.
- Develop data modeling standards and create conceptual and logical data models.
- Lead identification of current state technical landscape, technical requirements, and future state environment needs.
What you’ll bring
- 5-7 years experience developing Healthcare Insurance enterprise data architecture.
- Healthcare Payer experience from companies like Aetna, Cigna, Humana, United Healthcare, Anthem, BCBS, etc.
- Healthcare insurance data knowledge in Coordination of Benefits, Subrogation, and Medicare Secondary Payer.
- Proficient with data modeling tools such as Erwin.
Technologies
Erwin · SQL · data modeling · enterprise data architecture · MDM · data warehouses · data marts · operational data stores · integration data stores · analytics hubs
Source and classification
Deployment strategy · Evidence for this classification:
Job Description Position: Healthcare Data Architect Location: Richmond, VA Length: 3 months- w/option for extension MUST HAVE Healthcare Payer experience from one of the following companies: Aetna, Cigna, Humana, Kaiser Permanente, United Healthcare, Anthem, BCBS, Horizon, Champus/Tricare, WellPoint, HCSC, TUFTS, Harvard Pilgrim, CDPHP, Oxford HP, Health first NY & NJ, Fallon, Americhoice, NHP. Possible Options- Healthcare consulting vertical experience.- Accenture, Slalom, PWC, KPMG, Cerner, etc. · Healthcare insurance data knowledge specifically in Coordination of Benefits, Subrogration and Medicare Secondary Payer Requirements: 1. Must have 5-7yrs experience developing Healthcare Insurance enterprise data architecture for operational data stores, MDM data stores, integration data stores, data warehouses, analytics hubs and data marts. o Perform the detailed data analysis.How jobs are selected
Employer postings · Data from · Sources