Chief Technology Officer - Radiology

Overview

University Radiology is the largest privately-owned provider of subspecialty radiology and teleradiology services in NJ. We are comprised of more than 200 Board Certified radiologists with advanced U.S.

-based training and expertise in all modalities and subspecialty areas. In operation for more than 60 years, University Radiology staffs, manages and provides preliminary and final subspecialty interpretations and consultative support for hospitals, imaging centers and other medical facilities, and serves as the academic radiology faculty at Rutgers Robert Wood Johnson Medical School. Our physicians interpret over 2.1 million radiology procedures per year.

University Radiology has an exciting opportunity for a Chief Technology Officer to join our C-suite and help shape the future of our technology across our private practice. This is a strategic leadership role responsible for aligning technology, innovation, security, data and digital infrastructure with our clinical, operational and business priorities.

The Chief Technology Officer is a key member of our executive leadership team and will be accountable to the Board of Managers and physician leadership. Working closely with physicians, administrators and operational leaders, the CTO will develop and execute a technology strategy that supports exceptional patient care, physician experience, practice growth and long-term success.

This role is onsite, five days per week, at the University Radiology Business Office located in East Brunswick, NJ.

The CTO is responsible for the strategy, architecture, security, and day-to-day operation of every system that touches image acquisition, interpretation, reporting, and distribution — from PACS/RIS/VNA and AI diagnostic tools to network infrastructure, cybersecurity, and the end-user helpdesk.

Core Responsibilities:

• Own the full radiology technology stack: PACS, RIS, VNA, dictation/speech recognition, reporting and critical results communication, worklist and peer-review tools, and referring-physician portals.
• Evaluate, select, and implement radiologist and technologist workflow tools that reduce click burden, improve turnaround time, and support subspecialty and multi-site worklist distribution.
• Lead system upgrades, migrations, and downtime/disaster-recovery planning for all clinical systems.

• Build and govern the practice's AI strategy: triage/detection algorithms, reporting automation, and operational AI.
• Own AI vendor evaluation, clinical validation partnership with radiology leadership, integration into PACS/RIS workflow, and performance monitoring post-deployment.

• Design and maintain enterprise infrastructure: network, storage, compute, cloud strategy, and image storage/archival economics at scale.
• Own the cybersecurity program end-to-end: risk assessment, HIPAA/HITECH compliance, incident response, endpoint and network security, vendor security review, and cyber-insurance readiness.
• Establish and monitor uptime, performance, and security KPIs; report risk posture and system health to the CEO and Board.

• Serve as a core member of the executive team shaping overall practice strategy, with technology and informatics as a competitive differentiator; reporting to the Partners and Board of Managers
• Lead technology due diligence for acquisitions and partnerships: system compatibility assessment, integration cost/timeline modeling, and data migration planning.
• Design and execute post-merger IT integration playbooks to bring acquired sites onto a common technology platform with minimal clinical disruption.

• Own the IT and informatics capital and operating budgets, including forecasting for growth, technology refresh cycles, and M&A integration costs.
• Negotiate and manage all technology vendor and licensing contracts (PACS/RIS, AI, cloud, security, telecom, hardware), driving cost efficiency and favorable terms.

• Partner with radiology and operations leadership to continuously improve technologist and radiologist workflow, throughput, and satisfaction.
• Establish a structured intake and prioritization process for informatics/automation requests from clinical and operational stakeholders.
• Establish an enterprise data and analytics strategy integrating clinical, operational, financial, referral, scheduling, and productivity data.