Description
The Director of Clinical Intelligence, Quality Engineering & Data Operations is responsible for leading technology teams that enable population health, clinical quality, care gap management, risk identification, provider insights, and data-driven clinical decision support across CenterWell Primary Care.
Key Responsibilities
Clinical Intelligence & Population Health Platforms
Lead the engineering strategy, architecture, delivery, and operations for technologies supporting:
- Panel Management
- Clinical Quality and HEDIS programs
- Risk Adjustment and Suspecting
- Provider and Care Team Insights
- Population Health Workflows
- Clinical Decision Support
- Care Gap Identification and Closure
- Predictive and intelligence-driven clinical interventions
Analytics Enablement Engineering
Provide engineering capabilities that accelerate analytical delivery across Primary Care. Responsibilities include:
- Data integration services
- Data pipelines and ingestion frameworks
- Analytics platform support
- Operationalization of analytical solutions
- Data product enablement
- Reporting infrastructure support
- Application development supporting business intelligence functions
Data Operations & Reliability
Lead the operational teams responsible for the availability, quality, movement, and integrity of clinical and operational data. Responsibilities include:
- Data Operations
- Production support
- Data quality monitoring
- Integration monitoring
- Data incident management
- Deployment support
- Operational readiness
- Data governance execution
- Service reliability and operational excellence
Platform Enablement Strategy
Eliminate technology bottlenecks associated with data-dependent solutions by establishing shared platforms, reusable services, standardized data products, and self-service capabilities.
Engineering Leadership
Build and lead a high-performing organization consisting of software engineers, data engineers, analytics engineers, platform engineers, data operations specialists, site reliability and support engineers.
Cross-Functional Leadership
Partner closely with clinical leaders, quality and stars organizations, risk adjustment organizations, population health teams, care management teams, data & analytics, product management, operational leadership, and enterprise technology partners.
Success Measures
Business Outcomes
- Improved care gap closure rates
- Improved HEDIS and quality performance
- Increased risk identification opportunities
- Increased provider efficiency
- Improved patient outcomes
- Increased adoption of clinical intelligence capabilities
Technology Outcomes
- Platform reliability and availability
- Reduced data defects and data incidents
- Faster analytics solution delivery
- Reduced technical debt
- Increased reuse of shared services and data products
- Reduced dependency on centralized engineering teams
Operational Outcomes
- Improved data quality and trust
- Faster issue detection and remediation
- Increased automation of operational processes
- Improved deployment success rates
- Higher service satisfaction from business and technology partners
Use your skills to make an impact
Required Qualifications
- 10+ years of technology leadership experience
- 5+ years leading engineering organizations
- Experience leading both software and data engineering teams
- Experience with healthcare technology, population health, quality programs, risk adjustment, or clinical operations
- Strong understanding of data platforms, integrations, APIs, cloud technologies, and analytics ecosystems
- Proven experience building scalable platform capabilities used by multiple product and engineering teams
- Demonstrated success improving operational reliability and engineering effectiveness