Director, CenterWell Technology Solution Implementation

Humana•Dallas, TX

About The Position

The Director leads technology teams and capabilities supporting 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 platforms, services, integrations, and operational processes for Clinical Quality, HEDIS, suspecting, panel management, analytics enablement, and data operations. It partners with Clinical, Operations, Product, and Data & Analytics organizations to improve quality outcomes, provider effectiveness, and scalable growth. The Director sets engineering strategy, architecture, delivery, and operations for clinical intelligence and population health platforms, while advancing proactive intelligence that supports earlier intervention and better patient outcomes. The role also builds engineering capabilities for analytics delivery, including integration services, pipelines, analytics platform support, operationalized analytical solutions, data products, reporting infrastructure, and business intelligence applications. The Director leads data operations and reliability, including production support, data quality and integration monitoring, incident management, deployment support, operational readiness, governance execution, and service reliability. A central goal is to eliminate technology bottlenecks by creating shared platforms, reusable services, standardized data products, and self-service capabilities that let teams build independently and innovate at scale. The role builds and leads a multidisciplinary engineering organization and creates a culture of engineering excellence, operational discipline, automation, reliability, and measurable outcomes. The Director partners with clinical, quality, risk, population health, care management, analytics, product, operational, and enterprise technology stakeholders to translate business objectives into scalable technology and measurable clinical, operational, and financial impact. Success is evaluated through business outcomes, platform and data reliability, analytics delivery speed, reuse of shared capabilities, operational automation, and partner satisfaction.

Requirements

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.

Responsibilities

Lead engineering strategy, architecture, delivery, and operations for 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.
Advance clinical intelligence from retrospective reporting toward proactive intelligence that enables earlier intervention and improved patient outcomes.
Provide engineering capabilities for data integration, data pipelines and ingestion, analytics platform support, operationalization of analytical solutions, data products, reporting infrastructure, and business intelligence applications.
Lead data operations and production support, including data quality monitoring, 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 to reduce technology bottlenecks and enable distributed innovation.
Assess and mature centralized ownership, platforms, and services to reduce friction and enable other engineering teams to deliver independently.
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.
Partner with clinical leaders, quality and Stars organizations, risk adjustment organizations, population health and care management teams, Data & Analytics, Product Management, operational leadership, and enterprise technology partners.
Translate business objectives into technology capabilities and ensure investments deliver measurable clinical, operational, and financial impact.
Improve care-gap closure, HEDIS and quality performance, risk identification, provider efficiency, patient outcomes, and adoption of clinical intelligence capabilities.
Improve platform reliability, data quality and trust, analytics delivery speed, automation, deployment success, issue detection and remediation, and service satisfaction; reduce data incidents, technical debt, and dependencies on centralized engineering teams.