Responsibilities
- Create and deploy enterprise-level data architectures for a unified care platform.
- Build scalable data platforms to support clinical systems, operations, reporting, and analytical functions.
- Integrate AI-driven tools to enhance system design, development workflows, and operational performance.
- Develop and manage enterprise data models and integration strategies across EHR/EMR, Microsoft Dynamics, claims processing, and external systems.
- Design and supervise ETL and ELT pipelines for consistent data ingestion, transformation, validation, and delivery.
- Define and enforce standards for data governance, data quality, metadata management, and master data consistency.
- Work with Engineering teams to deliver cloud-native data solutions on Azure, including data lakes and data warehouses.
- Ensure all data systems meet HIPAA, HITRUST, privacy, security, and regulatory compliance standards.
- Collaborate with business leaders to convert strategic goals into scalable, future-ready data architectures.
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid or remote options available
Team
Cross-functional technology and healthcare data team
Responsibilities
- Design and implement enterprise data architecture for an integrated care platform.
- Architect scalable enterprise data platforms for clinical, operational, reporting, and analytics needs.
- Leverage AI technologies to improve system design, development, and operational efficiency.
- Design and maintain enterprise data models and integration solutions across Microsoft Dynamics, EHR/EMR, claims, and third party systems.
- Develop and oversee ETL/ELT processes for reliable data ingestion, transformation, validation, and distribution.
- Establish data governance, data quality, metadata management, and master data management standards.
- Collaborate with Engineering to build modern cloud based data solutions using Azure, including data lake and data warehouse architectures.
- Ensure data solutions comply with HIPAA, HITRUST, privacy, security, and regulatory requirements.
- Partner with business stakeholders to translate strategic objectives into scalable data solutions.
Available for qualified candidates
