Director of Engineering, Data Products

Role: Director of Engineering, Data Products

Lead the Data Products engineering pillar and serve as the technical engine for Counterpart Health’s clinical-data foundation.

Responsibilities

• Own the technical strategy and execution for the Data Products roadmap.
• Drive clinical data ingestion, including ingestion pipeline optimization and scalability.
• Lead canonical data modeling and the evolution of standardized clinical storage and data hygiene.
• Oversee scaling of customer data onboarding processes and continuously improve:
  • data quality/data integrity (“data hygiene”)
  • canonical storage standards
  • observability and monitoring for data pipelines
• Enable shared funnel visibility across the organization and support an enterprise reporting framework.
• Ensure the Data Products platform leverages healthcare standards (e.g., FHIR, LOINC, RxNorm) to translate clinical data foundations into business outcomes.
• Partner with cross-functional leaders (VP Engineering, Product, Data Science, Design) to deliver platform capabilities for clinical insight generation.
• Drive adoption of an AI-powered SDLC to accelerate coding, testing, and deployment while maintaining code quality and security.

Success Metrics

• Improved clinical data coverage and data freshness targets across all patient populations.
• Predictable, repeatable multi-customer scaling using standardized playbooks.
• Broad adoption of the Data Products platform and capabilities.
• A robust, stable data infrastructure that can serve as a reliable source of truth during growth.

Requirements

• 10+ years of engineering experience building high-scale data platforms and distributed systems.
• Strong focus on interoperability standards, including FHIR and clinical data standards (e.g., CCDA).
• Proven experience leading and scaling engineering teams handling data-heavy workloads and complex clinical pipelines.
• Experience delivering complex software in regulated environments.
• Experience implementing/scaling AI-assisted development workflows (AI code assistants, automated testing, AI-driven SDLC).
• Demonstrated experience operating in highly regulated healthcare environments with practical knowledge of HIPAA and SOC 2.
• Passion for healthcare and improving patient outcomes through technology.

Nice-to-haves / Additional Emphases

• Deep familiarity with the complexity and inconsistency of clinical datasets.
• Proactive focus on enhancing data integrity.
• Comfortable with ambiguity in fast-growth settings; strong system ownership and operational gap resolution.