[Hiring] Healthcare Data Solutions Architect @Ursa Health

Role Description

The Healthcare Data Solutions Architect role is ideal for an experienced data professional eager to put their domain knowledge and engineering expertise to work in a collaborative, mission-driven environment. Your efforts to organize, transform, and automate the flow of healthcare data will unlock actionable insights for our clients, enabling them to move from raw data to meaningful analysis in hours rather than weeks.

You'll interpret and integrate client payer claims, ADT, clinical/EMR, provider billing, and other operational datasets into the Ursa Core Data Model, building reusable, enduring data models that clients rely on to drive clinical, operational, and financial decisions.

You will work closely with Ursa colleagues across analytics engineering, product development, and customer success, as well as directly with client teams including data architects, analysts, clinicians, and other healthcare professionals to understand their data and their needs. You'll leverage Ursa Health's data platform to design and build integration pipelines, data models and increasingly, work alongside AI-assisted tooling that accelerates the process.

Qualifications

• Bachelor’s degree.
• 4+ years of experience working with any of the healthcare data domains (e.g. claims, provider billing, clinical or pharmacy).
• Familiarity with healthcare data integration concepts, common data sources (payer data files or clinical/EMR systems), data formats (claims, provider billing or HL7 ADT/FHIR).
• 4+ years implementing and maintaining ETL/ELT pipelines and processes.
• 4+ years of experience in end-to-end data integration (data discovery, scoping, data cleansing and curation, analysis, transformation, validation and maintenance).
• Demonstrated expertise in SQL, relational database technologies (e.g., Snowflake, Microsoft SQL Server, Oracle, PostgreSQL), enterprise data modeling with a strong focus on designing scalable, optimized and reusable data architectures.
• Availability to work during U.S. Eastern (EST) or Central Time (CST) business hours.

Requirements

• Lead the integration of healthcare data packages including medical claims, pharmacy claims, revenue cycle billing, ADT, clinical/EMR, FHIR and value-based care financial datasets into custom or Ursa Studio standard data models through collaboration with client and Ursa Health teams.
• Own end-to-end data solution architecture for ingesting, transforming, standardizing, and integrating complex healthcare datasets from multiple sources.
• Design and maintain scalable, standardized healthcare data models.
• Operationalize rigorous validation checks that preserve data integrity, prevent analytics degradation, and maintain client trust.
• Engage with clients to understand their data, its limitations, and analytical use cases, enabling actionable insights and informed business decision making.
• Collaborate with analytics engineers, customer success, and product teams to align delivery with client expectations and to surface product opportunities informed by client needs and data behavior.
• Partner with customer's leadership team to define and execute strategic roadmaps for enterprise data architecture, integration modernization and AI adoption.
• Thoughtfully leverage AI-assisted tooling to accelerate and improve delivery, applying domain knowledge and human judgment to ensure sound output.
• Keep your knowledge current regarding data security and privacy procedures and policies. Comply with HIPAA procedures and collaborate with the Incident Response Team as directed.

Company Description