Director of Engineering, Data Products

At Counterpart Health, we are transforming healthcare and improving patient care with our innovative primary care tool, Counterpart Assistant. By supporting Primary Care Physicians (PCPs), we are able to deliver improved outcomes to our patients at a lower cost through early diagnosis and longitudinal care management of chronic conditions. We're looking for a Director of Engineering to lead our Data Products pillar, serving as the technical engine for Counterpart Health's (CPH) clinical-data foundation. You will own the technical strategy and execution for the Data Products roadmap—encompassing clinical data ingestion, canonical data modeling, and ingestion scalability—while building scalable, reusable data capabilities that serve as a foundational platform for driving clinical insight generation. You will own the technical strategy for our Data Products platform—ensuring our clinical data foundations (using standards like FHIR, LOINC, and RxNorm) effectively drive business outcomes. You will serve as a critical leader and partner to the VP of Engineering and cross-functional leaders in Product, Data Science, and Design. As a Director of Engineering, Data Products , you will: • Own the Data Products technical roadmap, canonical data modeling, and ingestion scalability. • Manage and optimize the clinical data ingestion pipeline. • Oversee the scaling of customer data onboarding processes and the continuous improvement of data hygiene, canonical storage standards, and observability and monitoring of the data pipelines. • Enable shared funnel visibility across the organization and support the development of a robust enterprise reporting framework. • Drive the adoption of an AI-powered Software Development Life Cycle (SDLC), leveraging AI tools to accelerate coding, testing, and deployment processes while maintaining stringent code quality and security standards. Success in this role looks like: • Successfully achieving improved clinical data coverage and freshness targets across all patient populations. • Predictable and repeatable multi-customer scaling with standardized playbooks for rapid data readiness. • Broad adoption of the Data Products platform and its capabilities • Data infrastructure is robust, stable, and serves as a reliable source of truth during rapid organizational growth and customer expansion. You should get in touch if: • You possess 10+ years of engineering experience with a deep focus on building high-scale data platforms, distributed systems, and interoperability standards (e.g., FHIR, CCDA). • Proven track record in managing and scaling engineering teams that handle data-heavy workloads and complex clinical data pipelines. • Proven experience leading cross-functional teams of engineers to deliver complex software in regulated environments. • Experience implementing and scaling AI-assisted development workflows (e.g., AI code assistants, automated testing, or AI-driven SDLC) to improve engineering productivity. • Demonstrated experience building and managing engineering systems in highly regulated healthcare environments, with a strong operational understanding of HIPAA and SOC 2 compliance requirements. • Passionate about the healthcare sector and committed to utilizing technical expertise to drive meaningful improvements in patient outcomes. • Deeply familiar with the inherent complexities and lack of standardization in clinical datasets, with a proactive focus on enhancing data integrity. • Motivated by intricate technical challenges and dedicated to architecting pragmatic, high-quality engineering solutions through continuous intellectual exploration. • Thrives in dynamic, high-growth environments, demonstrating the ability to navigate ambiguity and align technical priorities with over