обновлено 12 дней назад
Director of Engineering, Data Products (Healthcare)
223 100 - 290 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director of Engineering, Data Products (Healthcare): Building and scaling clinical data ingestion, canonical data models, and reusable data capabilities for an AI-enabled primary care platform with an accent on FHIR-based interoperability, data quality, and operational reliability. Focus on leading engineering teams, scaling multi-customer data onboarding, and designing secure data infrastructure for regulated healthcare environments.
Location: Remote - USA
Base salary: $223,100–$290,000 USD per year, plus equity and performance-based bonus opportunities.
Company
Counterpart Health, a subsidiary of , develops an AI-enabled primary care platform that supports earlier diagnosis, chronic condition management, and value-based care.
What you will do
- Own the technical roadmap for the Data Products platform, including clinical data ingestion, canonical data modeling, and ingestion scalability.
- Manage and optimize clinical data pipelines, data hygiene, canonical storage standards, observability, and monitoring.
- Scale customer data onboarding through standardized playbooks and improve data readiness across multiple customers.
- Enable shared funnel visibility and support a robust enterprise reporting framework.
- Lead adoption of AI-assisted software development workflows for coding, testing, and deployment while maintaining code quality and security.
- Partner with the VP of Engineering and leaders in Product, Data Science, and Design to deliver the Data Products roadmap.
Requirements
- 10+ years of engineering experience focused on high-scale data platforms, distributed systems, and interoperability standards such as FHIR and CCDA.
- Experience managing and scaling engineering teams responsible for data-heavy workloads and complex clinical data pipelines.
- Experience leading cross-functional engineering teams in regulated environments and working with HIPAA and SOC 2 requirements.
- Experience implementing and scaling AI-assisted development workflows, automated testing, or AI-driven SDLC practices.
- Strong understanding of clinical data complexity, data integrity, engineering sustainability, organizational change, resource allocation, capacity planning, and technical debt.
- Must be based in the USA for this remote role.
Culture & Benefits
- Remote-first work environment with flexibility to collaborate with global teams.
- Medical, hospitalization, outpatient, optical, and dental coverage.
- Annual leave, company holidays, paid parental leave, mental health resources, and No-Meeting Fridays.
- Learning programs, mentorship, professional development funding, and regular performance feedback.
- Office setup reimbursement and a monthly cell phone and internet stipend.
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