Sr Director of Data Engineering

• 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.
• Bachelor’s degree in Computer Science, Information Systems, Engineering, Data Science or relevant experience required. MBA or related Master’s preferred.
• 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.
• Preferred Skills: 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.

managing remote and globally distributed engineering teams.

Understanding in a PE-backed or high-growth healthcare technology company.

• Systems/Tools: 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.