Director of Data

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☕ Washington – Remote

☕ Washington – Remote

💵 $220k / year

⏰ Full Time

🔴 Lead

👔 Director

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Opala

WebsiteLinkedInAll Job Openings

11 - 50 employees

🏥 Healthcare

⚕️ Healthcare Insurance

☁️ SaaS

Healthcare • Healthcare Insurance • SaaS

Opala is a company that specializes in providing software solutions for the healthcare industry, focusing primarily on healthcare payers such as health plans and pharmacy benefit managers. The company aims to transform data into a competitive advantage by improving data quality and providing insights to enhance revenue growth, decrease expenses, and improve patient outcomes. Opala's solutions streamline workflows, enhance administrative efficiency, and identify care gaps. With a strong focus on data security and reliability, Opala offers scalable and automated solutions tailored for healthcare providers. Additionally, they provide APIs through their Developer Toolkit for seamless integration with third-party applications, helping healthcare organizations achieve better patient matching and real-time benefits tracking.

📋 Description

• 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