Director, AI Technologies

What You’ll Do

• Define and execute the enterprise AI roadmap aligned to business priorities
• Identify, prioritize, and deliver high-impact AI use cases with measurable ROI
• Represent AI strategy in executive and cross-functional forums
• Own the design, deployment, and operation of the enterprise AI platform
• Establish scalable, secure, and compliant AI infrastructure (LLMs, MLOps, integrations)
• Define standards for model lifecycle management (deployment, monitoring, incident response)
• Build and enforce enterprise AI governance, including model risk, compliance, and acceptable use
• Lead governance reviews and ensure regulatory alignment (e.g., HIPAA)
• Maintain oversight of AI systems, vendors, and usage across the organization
• Lead end-to-end delivery of AI solutions across clinical, operational, and corporate functions
• Drive adoption and integration into business workflows
• Ensure outcomes are tied to efficiency, cost, or performance improvements
• Partner across IT, Clinical, HR, Operations, and Data teams
• Influence stakeholders and align AI initiatives to enterprise priorities
• Build and scale a multidisciplinary AI team
• Define roles, structure, and ways of working
• Manage budget, tooling, and external resources

Who You Are

Required

• 10+ years in technology roles with 4+ years in a leadership or management capacity
• Demonstrated experience building or scaling enterprise AI/ML platforms in production environments
• Deep understanding of LLM ecosystems, MLOps practices, vector databases, and AI API architectures
• Experience owning AI governance, model risk management, or responsible AI frameworks
• Track record of translating business problems into AI product requirements and delivering solutions
• Strong executive communication skills — able to present complex AI concepts to non-technical audiences

Preferred

• Experience in healthcare IT, clinical decision support, or HIPAA-regulated environments
• Familiarity with AWS AI/ML services (SageMaker, Bedrock, Amazon Connect AI capabilities)
• Experience building teams from the ground up in a new function
• Background in workforce management, BPO technology, or contact center AI
• Advanced degree in Computer Science, Data Science, or related field — or equivalent experience