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# Director of Engineering, Data Products

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[Apply for this job](#job-application)[View company](https://jobicy.com/company/clover-health.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 223,100–290k / yrDepartment[Software Engineering](https://jobicy.com/categories/engineering.md)EmploymentFull TimeExperienceDirectorPublished2 Oct 2026Apply before1 Nov 2026Listing views33Application actions0Application toolkit

## Make your next move.

Prepare your resume, explore your fit, and draft a cover letter for this opportunity.

AI Summary

## The role, at a glance.

Counterpart Health seeks a Director of Engineering to lead its Data Products pillar and clinical-data foundation. The role owns the technical roadmap for clinical data ingestion, canonical modeling, scalable onboarding, pipeline observability, and enterprise reporting capabilities. It requires deep experience with high-scale data platforms, distributed systems, healthcare interoperability standards such as FHIR and CCDA, and regulated-environment controls including HIPAA and SOC 2. This leader will manage engineering leaders and senior technical talent while partnering closely with Product, Data Science, Design, and executive stakeholders. Success centers on reliable, fresh clinical data, repeatable multi-customer scaling, broad platform adoption, and strong engineering execution in a high-growth setting.

## Role DNA

A quick view of the complexity, pace, ownership and collaboration implied by the job description.

### Job Complexity

5/5EasyHard

### Pace & Pressure

5/5RelaxedFast-paced

### Autonomy Level

5/5GuidedFull ownership

### Communication Load

5/5IndependentCollaborative

AI insightThis is a senior engineering leadership role with ownership of a mission-critical clinical data platform, organizational leadership, and substantial architectural accountability. The work combines complex interoperability and data-quality challenges with regulatory requirements, rapid scaling, and executive-level stakeholder management.

## Salary analysis

Estimated compensation compared with the broader US market for similar roles.

Estimated job medianMarket rate$256,550US market range$220k–$310k0$341k

AI insightThe disclosed yearly base-salary range is $223,100 to $290,000 USD, producing a midpoint of $256,550. For a US-based Director of Engineering leading healthcare data-platform initiatives, an estimated market base range is approximately $220,000 to $310,000 annually; this estimate excludes equity and performance-based bonuses.

## Core skills

Skills and capabilities most closely associated with this opportunity.

[Engineering Leadership](https://jobicy.com/jobs?search_keywords=Engineering%20Leadership.md)[Data Platforms](https://jobicy.com/jobs?search_keywords=Data%20Platforms.md)[Clinical Data](https://jobicy.com/jobs?search_keywords=Clinical%20Data.md)[FHIR](https://jobicy.com/jobs?search_keywords=FHIR.md)[CCDA](https://jobicy.com/jobs?search_keywords=CCDA.md)[Distributed Systems](https://jobicy.com/jobs?search_keywords=Distributed%20Systems.md)[HIPAA Compliance](https://jobicy.com/jobs?search_keywords=HIPAA%20Compliance.md)[SOC 2](https://jobicy.com/jobs?search_keywords=SOC%202.md)[Data Pipeline Architecture](https://jobicy.com/jobs?search_keywords=Data%20Pipeline%20Architecture.md)[AI-Assisted SDLC](https://jobicy.com/jobs?search_keywords=AI-Assisted%20SDLC.md)

Sample interview questionsHow would you design a canonical clinical data model that can support multiple customers with inconsistent source data?I would begin with a versioned canonical model grounded in established standards such as FHIR, LOINC, and RxNorm, while preserving source provenance and raw data for auditability. I would establish a configurable mapping and validation layer, define data-quality contracts, and measure completeness, timeliness, conformance, and reconciliation outcomes. The model would evolve through governed schema changes, clear ownership, and feedback from downstream clinical and analytics users.

What metrics would you use to assess the health of a clinical data ingestion platform?

I would track ingestion latency and freshness, throughput, successful-load rate, schema and mapping failure rate, data completeness, duplicate rates, reconciliation accuracy, and incident recovery time. I would segment these measures by customer, source system, and dataset so the team can identify systemic versus customer-specific issues. I would also connect platform metrics to business outcomes such as time to customer readiness and downstream clinical-data coverage.

Describe how you would scale customer data onboarding without sacrificing data quality or compliance.

I would turn the onboarding process into a standardized, instrumented playbook with reusable connectors, source-assessment templates, mapping configurations, automated validation, and formal readiness gates. Each customer implementation would retain appropriate controls for PHI access, audit logging, encryption, and least-privilege access. I would use onboarding retrospectives and operational metrics to continuously reduce manual work and improve time to production.

How do you balance rapid delivery against technical debt and reliability in a high-growth engineering organization?

I make tradeoffs explicit by maintaining a transparent portfolio of roadmap work, reliability investments, and debt reduction tied to customer and business risk. The team should reserve capacity for operational improvements, establish service-level objectives, and use incident learnings to prioritize systemic fixes. I communicate the cost of deferral in clear business terms so stakeholders can make informed decisions rather than treating technical debt as invisible work.

How would you introduce AI-assisted development practices while maintaining code quality and security in a regulated healthcare environment?

I would start with approved tools, clear usage policies, and a risk-based rollout that prevents sensitive data from being exposed to unapproved systems. AI outputs would remain subject to code review, automated testing, dependency scanning, security checks, and documented engineering standards. I would measure adoption through developer productivity, defect rates, deployment performance, and security findings, then expand practices that demonstrably improve delivery without weakening controls.

Opportunity details

## About this role.

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 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.

Engineering Leadership Skills:

* Proven track record of directly hiring, mentoring, and developing engineering managers, Tech Leads (TLs), and Principal Engineers (PELs).
* Demonstrated ability to cultivate a high-performance engineering culture focused on velocity, quality, and psychological safety.
* Experience leading organizational change, including structural re-orgs and process evolution.
* Strong proficiency in strategic resource allocation, capacity planning, and managing technical debt in a fast-paced product environment.
* 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.

Benefits Overview:

* Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program and regular compensation reviews to recognize and reward exceptional contributions.
* Physical Well-Being: We prioritize the health and well-being of our employees and their families by offering comprehensive group medical coverage that include coverage for hospitalization, outpatient care, optical services, and dental benefits.
* Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, company holidays, access to mental health resources, and a generous annual leave policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location.
* Professional Development: We are committed to developing our talent professionally. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews.

Additional Perks:

* Reimbursement for office setup expenses
* Monthly cell phone & internet stipend
* Flexibility to work from home, enabling collaboration with global teams
* Paid parental leave for all new parents
* And much more!

About Counterpart Health: In 2018, Clover Health set out to do something unprecedented: build a clinically intuitive, AI-enabled solution that fits within physicians’ workflows to help support the earlier diagnosis and management of chronic conditions.

Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care.

With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software.

Counterpart Health is a subsidiary of Clover Health. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people’s lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone’s responsibility.

#LI-Remote

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an [E-Verify](https://www.e-verify.gov/?utm_medium=search&utm_source=google&utm_campaign=everify2018&utm_content=bg_Branded_Everify_General_English_BMM_E_Verify&utm_keyword=everify) company.

Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc.

A reasonable estimate of the base salary range for this role is:

$223,100—$290,000 USD

Show more

[Apply now >](https://jobicy.com/jobs/154433-director-of-engineering-data-products.md)

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