Top Tech Jobs & Startup Jobs in Charlotte, NC

The role involves developing and managing complex data sets, creating dashboards, and analyzing data for operational efficiency in healthcare. Collaboration with clinical and IT teams is essential to optimize patient outcomes and processes.

The Data Product Manager I supports analytics and data strategy in healthcare, collaborates with teams to implement analytics solutions, and provides insights to improve product performance.

The AI Engineer II designs and develops generative AI software solutions, oversees architecture, evaluates technologies, and collaborates with teams for project delivery.

The Clinical Psychologist oversees Behavioral Health care management, develops clinical policies, and participates in quality improvement initiatives. They provide guidance and training, analyze utilization data, and ensure compliance with standards while liaising with members and providers.

The Clinical Psychologist provides behavioral health coverage determination, ensuring appropriate care in a cost-effective setting. Responsibilities include patient safety, developing clinical policies, participating in quality improvement, and serving as a clinical liaison.

The Clinical Psychologist provides oversight for Behavioral Health coverage, develops clinical policies, participates in quality improvement, and ensures compliance with regulations while working with providers, members, and state agencies.

The Claims Management Analyst III leads eBusiness initiatives, manages EDI trading partners, ensures compliance, and analyzes performance for continuous improvement.

Define and govern enterprise technology architectures and roadmaps, collaborate across IT teams, lead technical assessments and vendor reviews, validate requirements for strategic initiatives, and drive solutions that improve cost, availability, security, and client experience.

The AVP, Network and Contracting oversees provider contracting and network strategy, ensuring compliance and optimizing member access while leading a high-performing team.

Design, develop, and deploy AI/ML solutions—especially generative and agentic AI—build LLM and RAG architectures, implement MLOps pipelines, prototype PoCs, and integrate models into production using cloud, containerization, and CI/CD practices while collaborating across teams.