Executive Director of AI Platforms and Products

AdventHealth Corporate; Florida; On-site; USD 170,000 - 316,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

Life Insurance

Disability Insurance

403(b) Retirement Plan

Parental Leave

Career Development

Well-being Resources

Mental Health Support

Pet Benefits

Job summary

AdventHealth in Altamonte Springs, FL, seeks an Executive Director to lead our enterprise AI platforms and shared products strategy. You will own platform administration, roadmaps, vendor relationships, and reference implementations with Enterprise Architecture and Engineering teams.

You will shape an AI-first organization, define patterns, ensure security and responsible-AI requirements, and guide cross-functional teams from discovery through production readiness.

Qualifications

• 10+ years of relevant experience in enterprise AI or related field.
• 5+ years of leadership experience.
• Master's degree in IT, CS, or engineering.
• Strong knowledge of cloud, data, integration, and automation.

Responsibilities

• Develop and maintain the enterprise AI-platform strategy, multi-year roadmap, and investment principles.
• Define AI-product and AI-platform reference patterns, integration requirements, reusable components, and interoperability standards.
• Own product direction for shared AI platforms and capabilities, including user needs, service definitions, and lifecycle decisions.
• Lead technical and commercial evaluation, build-versus-buy-versus-partner recommendations, and strategic relationships with providers.
• Design and validate non-production reference implementations; collaborate with Engineering for production readiness.
• Build and lead an AI-first team delivering measurable platform value through governance and partnerships.

Skills

AI platform leadership

Solution architecture

APIs and data patterns

Security and privacy

Product management

Executive leadership

Budgeting & licensing

Vendor relationships

DevOps & production readiness

Education

Master's degree

Information Technology or related field

Job description

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.

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, 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.

Knowledge, Skills, and Abilities

• 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]

Education

• Master's degree [Required]

Field of Study

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

Work Experience

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

Physical Requirements (Please click the link below to view work requirements)

• Physical Requirements - https://tinyurl.com/23km2677

Pay Range

$170,060.80 - $316,284.80

Background Screening Requirement (Florida Law)

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.