AI Programs Director

ROLE SUMMARY The Director of AI Programs will lead the execution of enterprise artificial intelligence initiatives across a nationally distributed healthcare organization. This role sits at the intersection of clinical care, technology, data, and operations, with responsibility for turning AI innovation into real-world improvements in patient care, clinician experience, operational performance, and decision-making.

This is a highly visible leadership role requiring strong collaboration with executive leadership, clinical stakeholders, compliance, IT, and external partners to ensure AI solutions are scalable, ethical, secure, and clinically meaningful across diverse emergency department environments.

This role also leverages technology to advance the company’s S.A.F.E. values (Safe, Accountable, Friendly, Efficient) and supporting the organization’s Healthcare Anywhere mission through innovation, automation, and actionable insights

This is a salaried/Exempt role.

KEY RESPONSIBILITIES

Specific Duties :

Enterprise AI Strategy & Execution Advise C-Suite on enterprise-wide AI strategy and lead the execution of organizational priorities in quality, safety, access, clinician efficiency, and financial performance

Establish AI program roadmaps, success metrics, and governance frameworks to drive consistent outcomes across multiple states and care settings

Hands-on leader with implementation experience delivering a portfolio of AI initiatives such as:

Clinical decision support and predictive analytics

Generative AI for documentation and clinician workflow support

Operational optimization (staffing, throughput, patient flow)
Revenue cycle and compliance automation

Translate executive and clinical objectives into scalable, measurable AI programs

Operational Partnership (growth)
Partners with the enterprise Project Management Office (PMO) to define and implement the AI project portfolio

Partner closely with cross-functional company SMEs to identify high-impact AI use cases

Ensure AI tools integrate seamlessly into clinical workflows while preserving clinician autonomy and judgment

Serve as a trusted advisor to clinical leaders on AI capabilities, limitations, and best practices AI Governance, Risk & Compliance Establish and lead AI governance frameworks, including model approval, validation, monitoring, bias mitigation, and lifecycle management

Ensure compliance with HIPAA, CMS regulations, state-level requirements, and emerging AI regulations

Collaborate with Legal, Privacy, Compliance, and Information Security to manage enterprise risk Technology, Data & Vendor Management Partner with IT Infrastructure on platform and tenancy; partner with IT Security on data protection and model risk Stand up the responsible AI framework: risk reviews, audit trails, human-in-the-loop, acceptable useLead vendor selection and management across AI platforms (Microsoft Copilot, Azure AI Foundry, OpenAI, Anthropic, etc.)Partner

with IT, data analytics, and regional operations teams to ensure high-quality, secure, and interoperable data pipelines

Evaluate AI tools, platforms, and vendors; make build/buy/partner recommendations to the CIOManage vendor relationships and ensure performance, security, and clinical alignment

Change Management & Adoption Lead enterprise change management for AI adoption across multiple operations and POD divisions as required

Build AI literacy and trust through communication, training, and executive engagement across all levels of the organization

Act as an internal evangelist for responsible and pragmatic AI innovation

Measurement & Continuous Improvement Define KPIs and success metrics for all AI initiatives

Track post-deployment outcomes and continuously refine models and workflows

Report on program performance to the CIO and executive leadership#IND1

REQUIRED QUALIFICATIONS Bachelor’s degree in computer science, Data Science, Engineering, Healthcare Informatics, or related field
10+ years in technology (engineering, data, or applied ML)5+ years of leadership experience in AI/ML programs, advanced analytics, digital health, or enterprise technology programs

Demonstrated experience leading complex, cross-functional…