Director, CenterWell Technology Solution Implementation

Humana•Dallas, TX

2d•$142,300 - $195,700

About The Position

The Director leads technology teams and capabilities that enable population health, clinical quality, care gap management, risk identification, provider insights, and data-driven clinical decision support across CenterWell Primary Care. The role owns engineering capabilities that transform operational and clinical data into actionable intelligence and is accountable for platforms, services, integrations, and operational processes supporting Clinical Quality, HEDIS, suspecting, panel management, analytics enablement, and data operations. The Director partners with Clinical, Operations, Product, and Data & Analytics organizations to ensure technology accelerates quality outcomes, improves provider effectiveness, and supports scalable growth. The role leads the engineering strategy, architecture, delivery, and operations for clinical intelligence and population health technologies, while advancing proactive intelligence and clinical interventions. The Director provides engineering capabilities for analytics delivery, including data integration, pipelines, ingestion frameworks, analytics platform support, data products, reporting infrastructure, and applications supporting business intelligence. The position also leads data operations and reliability functions, including production support, data quality and integration monitoring, incident management, deployment support, operational readiness, governance execution, and service reliability. A key objective is to establish shared platforms, reusable services, standardized data products, and self-service capabilities that help teams across Primary Care Technology build solutions independently. The organization is expected to enable other engineering teams to move faster, reduce dependencies, and support distributed innovation at scale. The Director builds and leads a multidisciplinary organization of software, data, analytics, and platform engineers, data operations specialists, and site reliability and support engineers. The leader promotes engineering excellence, operational discipline, automation, reliability, and measurable business outcomes, and partners with architecture and product leadership to deliver scalable, maintainable, secure solutions aligned with business strategy. The role works with clinical, quality, risk adjustment, population health, care management, data and analytics, product, operations, and enterprise technology partners to translate business objectives into technology capabilities and deliver measurable clinical, operational, and financial impact. Success is assessed through business outcomes such as care gap closure, HEDIS and quality performance, risk identification, provider efficiency, patient outcomes, and adoption; technology outcomes such as reliability, reduced data defects and technical debt, faster analytics delivery, reuse, and reduced centralized dependencies; and operational outcomes such as data trust, faster remediation, automation, deployment success, and partner satisfaction.

Requirements

10 or more years of technology leadership experience.
5 or more 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.

Responsibilities

Lead the engineering strategy, architecture, delivery, and operations for clinical intelligence and population health technologies, including panel management, Clinical Quality and HEDIS, risk adjustment and suspecting, provider and care team insights, population health workflows, clinical decision support, care gap identification and closure, and predictive clinical interventions.
Evolve technology from retrospective reporting toward proactive intelligence that supports earlier intervention, quality performance, and patient outcomes.
Provide engineering capabilities for data integration, pipelines and ingestion frameworks, analytics platforms, analytical solution operationalization, data products, reporting infrastructure, and business intelligence applications.
Lead data operations and reliability, including production support, data quality and integration monitoring, data incident management, deployment support, operational readiness, governance execution, and service reliability.
Establish shared platforms, reusable services, standardized data products, and self-service capabilities that reduce bottlenecks and enable delivery teams to build solutions independently.
Assess where centralized ownership creates unnecessary friction and mature platforms and services to enable distributed innovation at scale.
Build and lead teams of software engineers, data engineers, analytics engineers, platform engineers, data operations specialists, and site reliability and support engineers.
Create a culture focused on engineering excellence, operational discipline, automation, reliability, and measurable business outcomes.
Partner with architecture and product leadership to ensure solutions are scalable, maintainable, secure, and aligned with long-term business strategy.
Collaborate with clinical, quality, risk adjustment, population health, care management, data and analytics, product, operations, and enterprise technology partners.
Translate business objectives into technology capabilities and ensure investments deliver measurable clinical, operational, and financial impact.