Executive Director of AI Platforms and Products

Our promise to you:

Joining AdventHealth is about being part of something bigger. It’s about belonging to a community that believes in the wholeness of each person, and serves to uplift others in body, mind and spirit. AdventHealth is a place where you can thrive professionally, and grow spiritually, by Extending the Healing Ministry of Christ. Where you will be valued for who you are and the unique experiences you bring to our purpose-minded team. All while understanding that together we are even better.

Leads enterprise direction for AI-specific platforms and shared products whose primary purpose is predictive, generative, or agentic artificial intelligence and automation. The role owns accountable platform administration, product and service direction, strategic model-provider and vendor relationships, shared-capability roadmaps, and AI-platform configuration and integration requirements. The Executive Director builds non-production prototypes and reference implementations and works through Enterprise Architecture and Engineering for production architecture, platform engineering, DevOps, integration, deployment, operations, and support.

• Develop and maintain the enterprise AI-platform and shared-product strategy, investment principles, service model, scope criteria, and multi-year roadmap; distinguish AI-specific platforms from general enterprise applications with embedded AI and from Engineering-owned platform and DevOps tooling.
• Formalize accountable administration for in-scope AI and automation platforms, including ownership, environments, access, provisioning, configuration, capacity, cost, service measures, escalation, and lifecycle documentation.
• Define AI-product and AI-platform reference patterns, integration requirements, reusable components, interoperability standards, lifecycle patterns, and technical decision criteria in partnership with Enterprise Architecture and Engineering; those teams retain enterprise architecture and production engineering accountability.
• Own product direction for shared AI platforms and capabilities, including user needs, service definitions, roadmap priorities, quality, adoption, feedback, and lifecycle decisions.
• Create and govern a configuration and integration roadmap that enhances enterprise tools and workflows while aligning with data, identity, security, privacy, and responsible-AI requirements.
• Lead technical and commercial evaluation, build-versus-buy-versus-partner recommendations, and strategic relationships with AI platform, model, automation, and shared-service providers.
• Personally design, configure, prototype, and validate non-production reference implementations; provide Engineering with clear requirements, patterns, evidence, and acceptance criteria through build, deployment, observability, transition, and operational readiness. Engineering retains production code, integration, deployment, run, and support.
• Build and lead a high-leverage, AI-first team that creates reusable capabilities, actively engages enterprise stakeholders, demonstrates measurable platform value, and models a build-and-show culture; lead function operations, talent, performance, budgets, licensing, capacity, and resourcing in accordance with enterprise policy.
• Performs other duties as assigned.

• Deep hands-on expertise in enterprise AI, machine learning, generative AI, agentic systems, cloud, data, integration, automation, or related platform technologies. [Required]
• Strong working knowledge of solution architecture, APIs, data and semantic patterns, identity and access, security, privacy, observability, reliability, scalability, and production readiness, with the judgment to distinguish AI-product ownership from Enterprise Architecture and Engineering accountability. [Required]
• Ability to define AI-platform and product strategies, roadmaps, administration models, service measures, reference patterns, integration requirements, reusable capabilities, and technical decision criteria. [Required]
• Working knowledge of model, prompt, and agent lifecycles; evaluation; guardrails; monitoring; vendor-model dependencies; and responsible-AI-by-design. [Required]
• Strong product-management and customer-value orientation across discovery, service definition, prioritization, quality, adoption, and lifecycle decisions. [Required]
• Financial and commercial acumen covering licensing, consumption, capacity, total cost, vendor performance, strategic model-provider relationships, investment choices, and sourcing decisions. [Required]
• Ability to lead multidisciplinary technical teams and establish explicit decision rights, service interfaces, and handoffs with Engineering, Enterprise Architecture, data, security, privacy, governance, and vendors through the delivery lifecycle. [Required]
• Hands-on building, first-principles problem solving, lean-management discipline, technical and business-value storytelling, active executive engagement, and force-multiplier people leadership that produces reusable capabilities and measurable outcomes. [Required]

• Master's degree [Required]

• In Information Technology, Computer Science, Information Systems, Engineering, or a closely related technical discipline [Required]

• 10+ years of relevant experience [Required]
• 5+ years of leadership experience [Required]

Certain positions are subject to Florida Level 2 background screening, including fingerprinting, as required by state law.

Applicants may review general information about Florida’s background screening requirements at the Florida Care Provider Background Screening Clearinghouse:
https://info.flclearinghouse.com/

This facility is an equal opportunity employer and complies with federal, state and local anti-discrimination laws, regulations and ordinances.