Clover Health - Director of Engineering, Data Products
Requirements
• 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.
Responsibilities
• 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. • 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.
Benefits
• 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 • 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.
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