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Med Clinic X seeks a Technology Strategist to define and guide the long-term technology vision, architecture direction, and innovation strategy across its healthcare platforms.
You will evaluate emerging technologies, shape product direction, and align engineering and business goals to build scalable healthcare solutions for the US market, collaborating with leadership, product teams, and architects to drive digital health transformation.
Med Clinic X is a healthcare technology company building advanced digital health solutions that help healthcare organizations across the United States modernize their operations and patient experiences.
We develop healthcare SaaS platforms, AI-driven healthcare systems, patient portals, telemedicine solutions, automation workflows, and enterprise digital health products designed to improve efficiency, outcomes, and accessibility in healthcare.
Our mission is to define the future of healthcare technology through innovation, strategy, and scalable digital solutions.
We are seeking a Technology Strategist to define and guide the long-term technology vision, architecture direction, and innovation strategy across Med Clinic X platforms.
In this role, you will evaluate emerging technologies, shape product direction, and align engineering and business goals to build scalable healthcare solutions for the US market.
You will work closely with leadership, product teams, and engineering architects to design the future of healthcare technology systems.
At Med Clinic X, you will shape the strategic direction of healthcare technology innovation. You will:
SaaS Strategy & Vision AI/ML Healthcare Systems Interoperability & FHIR Enterprise Architecture Cloud Platforms (AWS/Azure) Digital Health Tech Advising
Formulate long-term roadmap priorities for our multi-tenant clinic platforms.
Architect clinical NLP, summarizers, and automated triage models safely.
Strategize interoperability boundaries across Epic, Cerner, and cloud portals.
Guide multi-region deployment topologies, cost optimizations, and server footprint plans.
Design patient communication models, outreach automations, and scheduling tools.
Define interface specifications, message bus topologies, and data lakes guidelines.