Director of Data
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Job Description
Director of Data building scalable, compliant infrastructure connecting healthcare payer, provider, EMR, and clinical data. Leading Opala’s data strategy, engineering team, and interoperability products.
Responsibilities:
- Design and implement scalable data architectures integrating healthcare payer, health exchange, provider, and EMR data into unified golden records
- Lead technical strategy for mapping healthcare data sources to HL7 FHIR and interoperability standards
- Architect, implement, and optimize batch and real-time data pipelines and integrations
- Drive technical decisions for Databricks, optimizing development velocity, cost efficiency, and operational excellence
- Establish data governance and operationalize data quality, lineage, and documentation
- Guide data integrations including SFTP, Delta Sharing, and EMR integrations
- Lead and mentor data engineers, analysts, and QA engineers
- Recruit, hire, and develop data talent
- Collaborate with product, engineering, and operations teams
- Establish engineering processes, code review standards, and quality assurance practices
- Partner with the CTO on long-term data strategy and technology roadmap planning
- Collaborate with product leadership to support product strategy
- Drive data-informed decision-making through analytics and reporting
Requirements:
- 5+ years of experience in healthcare data
- Deep understanding of payer and provider data ecosystems
- Extensive experience with FHIR, HL7, X12, and clinical data formats
- Proven experience with EMR systems, claims data, and clinical workflows
- Strong understanding of HIPAA, HITECH, FDA, and CMS requirements
- Advanced proficiency in data architecture, data engineering, and data science methodologies
- Expert-level Databricks experience, including cost and performance optimization
- Strong background in pub/sub architectures, batch processing, and real-time healthcare data integration
- Proficiency in Python, SQL, Spark, Kafka, and related modern data stack technologies
- Experience with Azure, AWS, or GCP and infrastructure as code
- Familiarity with AI/ML technologies
- 3+ years of experience leading technical teams
- Ability to recruit, develop, and retain technical talent
- Ability to translate complex technical concepts to non-technical stakeholders
- Collaboration with product, engineering, and clinical stakeholders
- Advanced degree in Computer Science, Engineering, Data Science, or related field preferred
- Experience with HL7 Da Vinci organizations preferred
- Previous health tech startup or healthcare technology company experience preferred
- Knowledge of machine learning and AI applications in healthcare preferred
- Experience building data products, federated data architectures, and customer-facing platforms preferred
- Comfortable presenting and performing discovery with customers and partners
- Familiarity with healthcare quality measures and value-based care models
Benefits:
- Medical, dental, vision, life and AD&D insurance
- EAP
- Short-term and long-term disability
- 16 days PTO
- 8 paid holidays
- Fully paid holiday closure
- Parental and family medical leave
- 401k
- Stock options
- Annual bonuses
- Salary increases based on merit
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