Sr Director of Data Engineering

OncoHealth is a digital health company supporting people navigating cancer. The Senior Director of Data Engineering will define and execute the enterprise data engineering strategy, build and lead the data engineering organization, and deliver scalable data platforms that support analytics, AI, interoperability, operations, and client insights.

Responsibilities:

• Define and execute the enterprise data engineering vision aligned with business and product strategy
• Establish standards, patterns, and best practices for data architecture, data pipelines, data quality, governance, and platform operations
• Provide technical leadership across Azure, AWS, Databricks, Airflow, Python, SQL, and cloud-native data technologies
• Oversee the design, development, deployment, and maintenance of scalable ETL/ELT pipelines and data processing frameworks
• Build, lead, and mentor a world-class Data Engineering organization
• Recruit, develop, and retain top engineering talent while fostering a culture of innovation, accountability, and continuous learning
• Serve as a subject matter expert for healthcare data ecosystems including claims, eligibility, provider, authorization, clinical, and operational data
• Partner with executive leadership to translate business priorities into scalable technology and data solutions

Requirements:

• Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science or relevant experience required
• Typical years of experience are 10+ years of data engineering, data platform development, or enterprise data architecture
• 5 plus years of leadership experience managing and scaling high-performing engineering organizations
• Demonstrated success building cloud-native data platforms in complex healthcare environments
• Experience leading enterprise modernization initiatives involving analytics, AI, and large-scale data transformation
• Proven track record partnering with executive stakeholders and influencing strategic business decisions
• Deep knowledge of healthcare payer operations, prior authorization, claims, eligibility, provider, clinical, and operational data
• Experience with healthcare interoperability standards including FHIR, APIs, and EDI/X12 transactions
• Strong understanding of HIPAA, HITRUST, regulatory compliance, and healthcare data governance
• Exceptional people leadership and coaching capabilities
• Strong executive communication and presentation skills
• Ability to lead organizational change and drive enterprise adoption of new technologies
• Expert knowledge of: Azure Data Platform (or comparable cloud data engineering), Databricks (Delta Lake, PySpark), Apache Airflow, Python, SQL, Data Warehousing & Lakehouse Architectures, Data Modeling & Enterprise Data Architecture, DataOps, CI/CD, DevOps Practices
• MBA or related Master's preferred
• Experience supporting AI, machine learning, advanced analytics platforms, Power BI, semantic models, and self-service analytics ecosystems
• Familiarity with CMS interoperability mandates and prior authorization workflows
• Experience managing remote and globally distributed engineering teams
• Understanding in a PE-backed or high-growth healthcare technology company