Executive Director of AI Platforms and Products

** Our promise to you:*
* Joining Advent Health 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. Advent Health 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.

** All the benefits and perks you need for you and your family:*
* + Benefits from Day One:
Medical, Dental, Vision Insurance, Life Insurance, Disability Insurance

+ Paid Time Off from Day One

+ 403-B Retirement Plan

+ 4 Weeks 100% Paid Parental Leave

+ Career Development

+ Whole Person Well-being Resources

+ Mental Health Resources and Support

+ Pet Benefits

*
* Schedule:

*
* Full time

** Shift:*
* Day (United States of America)

** Address:*
* 902 INSPIRATION AVE

** City:*
* ALTAMONTE SPRINGS

** State:*
* Florida

** Postal Code:*
* 32714

*
* Job Description:

*
* 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, Dev Ops, 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 Dev Ops 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,…