Director of AI Analytics & Governance

Company Description
Strategic Radiology, LLC is a national coalition of independent radiology practices working collaboratively to advance quality, operational excellence, and innovation across member groups. As artificial intelligence transforms diagnostic imaging, Strategic Radiology is committed to helping its member practices navigate AI adoption thoughtfully, safely, and effectively.

Position Summary
The Director of AI Analytics & Governance will serve as the central resource for guiding Strategic Radiology member groups through the evaluation, adoption, and ongoing governance of AI tools in radiology practice. This role combines analytical rigor with practical program development—building the frameworks, registries, and resources that allow member groups to adopt AI with confidence and consistency.

Key Responsibilities

AI toolkit & governance development

• Develop and maintain practical toolkits covering AI best practices, vendor evaluation criteria, and implementation guidance for member practices
• Create template business service agreements (BSAs), data use agreements, and contract review checklists for AI vendor engagements
• Draft policy frameworks for AI oversight, clinical validation, and risk management at the practice level
• Stay current on regulatory guidance (FDA, ACR, CMS) and translate it into actionable resources for members

AI performance registry

• Define standardized data collection protocols and performance benchmarks (sensitivity, specificity, turnaround time impact, false positive/negative rates, etc.) and develop actionable validation and monitoring framework to be deployed organization wide
• Design and build a centralized registry to track and monitor AI tool deployments, performance metrics, and outcomes across member practices
• Coordinate with member practices to ensure consistent, high-quality data submission and registry participation
• Analyze registry data to identify trends, surface insights, and generate regular performance reports for members and leadership
• Continued management, advancement, & expansion of registry to track clinical outcomes, workflow efficiencies, adoption, operational & financial impacts, user satisfaction, and return on investment

Member engagement & AI coordination

• Act as a strategic resource and first point of contact for member groups navigating AI adoption decisions
• Assist with AI readiness assessments and adoption roadmaps tailored to individual member group contexts
• Support members in identifying appropriate AI tools for their clinical and operational needs
• Facilitate peer learning, working groups, and knowledge sharing across the coalition on AI topics
• Navigate & advise upon continuous AI lifecycle management, such as post-deployment monitoring, performance assessment, updates, validation, and retirement of tools
• Monitor and share lessons associated with AI-related safety events, near misses, and workflow issues
• Monitor the radiology AI marketplace and share insights on vendors, regulations, implementations, and emerging technologies
• Represent Strategic Radiology in relevant external forums, conferences, and vendor discussions related to radiology AI

Qualifications
Strategic Radiology is seeking an individual who excels at marrying technical rigor with clear communication and business judgment. There is no single path to this role — candidates with deep technical backgrounds who communicate well, and those with strong business and analytical foundations who are fluent in AI concepts, will both be considered.

Required

• Bachelor's degree or equivalent in data analytics, health informatics, health administration, or related field
• 3+ years of experience in healthcare analytics & health IT
• Strong written communication; ability to translate technical content for non-technical audiences

Proficiency in data analysis tools (Excel, SQL, or similar)

Preferred

• Experience in radiology, diagnostic imaging, or physician group management
• Knowledge of radiology AI vendors and current market landscape
• Master's degree (MHA, MPH, MS in informatics, or related)
• Experience developing governance frameworks, policy documentation, quality improvement, and/or data registries
• Proficient in AI/ML concepts and their clinical applications