Note: The job is a remote job and is open to candidates in USA. OncoHealth is a digital health company that helps health plans, employers, providers, and patients navigate the complexities of cancer through technology-enabled services. The Senior Director of Data Engineering will define and execute the enterprise data engineering strategy, build scalable cloud-based data platforms, and lead a high-performing data engineering organization supporting analytics, AI, reporting, interoperability, and operational excellence.
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
Skills
- 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
- We are open to employees nationwide but work primarily in the Eastern and Central Time Zones
- 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
Benefits
- Full benefit package on your first day
- Company bonus
- Remote, hybrid, or in-office work options
- Access to modern and engaging offices
- Social activities and community events
Company Overview
Company H1B Sponsorship