C
Clover Health
Director of Engineering (Data Products)
Skills
Data ScienceAICompliance
1 month ago
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Important information
Contract type:
Permanent
Salary:
$223,100 – $290,000 / year
Location:
United States
Work mode:
Onsite
Published on:
20 September 2026
What they need
- 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
- 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
Benefits
- Paid parental leave and a life insurance policy
- Commuter benefit program
- 2 paid volunteer days for an organization of your choice
- 401(k) contributions
- Home office reimbursement for full-time employees
- 18 paid vacation days, 9 paid sick days, 10 company holidays, and a floating holiday
- Medical, dental, and vision plans; healthcare and dependent care FSA as well as a health and wellness benefit- Demonstrated experience building and managing engineering systems in highly regulated healthcare environments, with a strong operational understanding of HIPAA and SOC 2 compliance requirements
- Thrives in dynamic, high-growth environments, demonstrating the ability to navigate ambiguity and align technical priorities with overarching strategic objectives
- Action-oriented leader who assumes full ownership of system sustainability, willing to address operational gaps to ensure the team achieves its delivery milestones
- Motivated by intricate technical challenges and dedicated to architecting pragmatic, high-quality engineering solutions through continuous intellectual exploration
- Experience implementing and scaling AI-assisted development workflows (e.g., AI code assistants, automated testing, or AI-driven SDLC) to improve engineering productivity
- Passionate about the healthcare sector and committed to utilizing technical expertise to drive meaningful improvements in patient outcomes
- 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 experience leading cross-functional teams of engineers to deliver complex software in regulated environments
- Proven track record in managing and scaling engineering teams that handle data-heavy workloads and complex clinical data pipelines
- Deeply familiar with the inherent complexities and lack of standardization in clinical datasets, with a proactive focus on enhancing data integrity
- Strong proficiency in strategic resource allocation, capacity planning, and managing technical debt in a fast-paced product environment
- Experience leading organizational change, including structural re-orgs and process evolution
- Demonstrated ability to cultivate a high-performance engineering culture focused on velocity, quality, and psychological safety
- Proven track record of directly hiring, mentoring, and developing engineering managers, Tech Leads (TLs), and Principal Engineers (PELs)
- Exceptional stakeholder management skills, with the ability to translate complex technical constraints into clear, actionable business strategies (e.g., impact on HEDIS/RADV outcomes) for non-technical leadership
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