Sr. Director, Clinical Data Engineering

Newfire Global Partners is a healthcare technology consultancy specializing in complex data engineering challenges. The Sr. Director of Clinical Data Engineering will lead the development of healthcare data architecture and data engineering practices, ensuring high-quality data solutions for clients.

Responsibilities:

• Define and evolve Newfire's approach to clinical and claims data engineering
• Establish best practices, reference architectures, and reusable patterns — data lake and warehouse design, ETL/ELT pipelines, data quality and governance frameworks, and analytics-ready data models for healthcare use cases
• Lead a data engineering team that builds and operates pipelines on behalf of clients — both analytics workloads (population health, quality measures, reporting) and transactional pipelines (claims processing, eligibility, real-time data flows)
• Own the technical quality and reliability of this work
• Bring deep expertise in how healthcare data is accessed and structured in practice — Epic Clarity and Caboodle, FHIR APIs, claims and eligibility data (EDI, 837/835, ICD-10, CPT/HCPCS, payer adjudication, risk adjustment)
• Stay close to the work. Review architectures, debug pipeline issues, evaluate new tools
• Work with strategic consulting and commercial leadership to identify where data engineering creates opportunities — in active engagements, in proposals, and in how we position capabilities to the market
• Step into client engagements to provide data architecture guidance, assess existing data infrastructure, or lead technical design when the engagement requires senior data engineering judgment
• Build and develop data engineering talent at Newfire — identifying skill gaps, mentoring engineers, and shaping how we recruit for data engineering capability
• Bring a current perspective on where AI capabilities are production-ready and integrate them into Newfire's approach where they add real value

Requirements:

• Deep healthcare data domain expertise
• Technically hands-on
• Practice leadership, not just technical delivery
• Consulting or multi-client experience
• Commercial instinct
• Pragmatic modernizer
• AI fluency