Remote Senior Solutions Consultant
Insight Global, New York, NY, United States
Chief Solutions Architect
One of our leading healthcare clients is looking for a Chief Solutions Architect to lead end-to-end architecture and solution strategy for our oncology portfolio. You'll define and govern reference architectures spanning EMR/EHR and Revenue Cycle Management (RCM), integration middleware, cloud & data center platforms, and AI/ML solutions that drive clinical outcomes, operational efficiency, and regulatory compliance. You'll be the go-to authority partnering with Product, Engineering, Security, Clinical, and Go-to-Market teams to deliver scalable, secure, interoperable solutions. Own the multi-year enterprise and solutions architecture roadmap for oncology products and services (clinical, operational, financial). Establish reference architectures and patterns for EMR/RCM interoperability, integration middleware, microservices, event-driven systems, data/analytics, and AI/ML. Drive cloud strategy (e.g., Azure/AWS/GCP), hybrid infrastructure, and modernization of data center workloads; ensure resiliency, performance, and cost governance (FinOps).
One of our leading healthcare clients is looking for a Chief Solutions Architect to lead end-to-end architecture and solution strategy for our oncology portfolio. You'll define and govern reference architectures spanning EMR/EHR and Revenue Cycle Management (RCM), integration middleware, cloud & data center platforms, and AI/ML solutions that drive clinical outcomes, operational efficiency, and regulatory compliance. You'll be the go-to authority partnering with Product, Engineering, Security, Clinical, and Go-to-Market teams to deliver scalable, secure, interoperable solutions. Own the multi-year enterprise and solutions architecture roadmap for oncology products and services (clinical, operational, financial). Establish reference architectures and patterns for EMR/RCM interoperability, integration middleware, microservices, event-driven systems, data/analytics, and AI/ML. Drive cloud strategy (e.g., Azure/AWS/GCP), hybrid infrastructure, and modernization of data center workloads; ensure resiliency, performance, and cost governance (FinOps).