Associate Vice President, Enterprise AI Architecture & Strategy

Reporting to the VP of Enterprise Technology Architecture and Strategy, the AVP defines, governs, and advances the organization's enterprise-wide AI and generative AI strategy and architecture within a complex, highly regulated healthcare environment. Serves as the enterprise leader for AI technology strategy, architecture, and governance, aligning AI vision, roadmap, standards, and operating model with organizational strategy across clinical care, research, academic, and operational domains, ensuring AI investments are clinically safe, ethically sound, secure, scalable, and compliant. Owns multi-year AI technology strategy and architecture roadmaps, reference architectures, and governance frameworks. Establishes enterprise standards for AI/ML and GenAI platforms, agentic AI orchestration, AI monitoring and observability, and LLM model lifecycle management (development, validation, deployment, monitoring, retirement), and integration with EHRs, clinical systems, and research platforms. Oversees AI and GenAI governance including architecture review, model risk management, clinical safety, and ethical AI. Partners with Information Security, Privacy, Legal, Compliance, Clinical Informatics, and Risk Management for HIPAA and AI-related regulatory compliance. Education and experience: Bachelor's degree required; 15+ years of IT experience with 7+ years of enterprise architecture leadership and 3+ years as an AI enterprise architect and strategist. AI governance or machine learning certification preferred.