Chief AI Officer

AtCooper University Health Care our commitment to extraordinary care begins with our people. Our teams are empowered to innovatecontinuously advancing clinical excellence while expanding access to leadingedge facilities equipment technologies and research protocols.

As an AIforward academic health system Cooper is intentionally shaping the future of health care. We are embracing intelligent technologies that enhance clinical decisionmaking streamline workflows and unlock new possibilities in patient care education and research. Our professionals dont just adapt to changethey help lead it.

We demonstrate our commitment to our team members through competitive compensation a comprehensive benefits program supportive and collaborative work environments and meaningful opportunities for career growth and professional development. At Cooper you have the chance to build a career while helping redefine whats possible in modern health care.

Discover why Cooper University Health Care is the employer of choice in South Jerseyand a place where innovation purpose and people come together.

The Chief AI Officer (CAIO) is responsible for leading Cooper University Health Cares enterprise-wide

artificial intelligence strategy governance and innovation agenda. This executive role ensures that AI

capabilities are responsibly designed deployed and scaled to drive clinical innovation operational

excellence efficiency and long -term strategic advancement. Wide artificial intelligence strategy

governance and innovation agenda. This executive role ensures that AI capabilities are responsibly

designed deployed and scaled to drive clinical innovation operational excellence efficiency and

long term strategic advancement.

While data remains a critical foundation for meaningful AI the CAIOs primary focus is on accelerating AI adoption shaping enterprise AI governance and guiding Coopers evolution into an AI -enabled

healthcare system.

AI Strategy & Transformation Leadership

• Enterprise AI Strategy
  • Develop and execute a comprehensive AI strategy aligned to Coopers clinical operational and strategic priorities. Define the roadmap for safe ethical and scalable AI adoption.
• AI Innovation & Solution Deployment
  • Lead the exploration evaluation and implementation of AI solutions including clinical decision support automation predictive modeling and generative AI to enhance care delivery and operational efficiency.
• AI Governance Safety & Compliance
  • Establish governance frameworks to ensure AI quality transparency safety and compliance with HIPAA CMS FDA and responsible AI standards.
• Cross -Functional AI Collaboration
  • Partner with clinical operational and administrative leaders to identify high -impact AI opportunities that improve performance and advance the patient and caregiver experience.

Technology & Platform Leadership

• AI Platform & Tooling Oversight
  • Evaluate select and implement enterprise AI platforms LLM technologies and automation tools supporting Coopers mission.
• AI-Ready Data Foundations
  • Ensure the availability of high -quality well -governed data sources required for safe effective AI useincluding data engineering integration and metadata visibility.

AI Workforce & Culture

• Team Development & Talent Leadership
  • Build and lead a high -performing team of AI engineers data scientists machine -learning specialists and applied innovation roles. Foster a culture of responsible AI experimentation and continuous learning.
• AI Literacy & Change Management
  • Drive enterprise AI literacy including training clinicians and staff on AI capabilities limitations and safe use.

Enterprise Data Governance Leadership

• Co-develop and operationalize Coopers enterprise data governance strategy aligned with the CAIOs AI and data readiness vision.
• Establish governance frameworks policies and standards that ensure quality lineage stewardship privacy and ethical use of data.
• Lead enterprise data stewardship programs and define roles responsibilities and accountability across the organization.

Data Quality & Integrity

• Implement and oversee enterprise processes for data quality monitoring issue remediation and continuous improvement.
• Ensure the accuracy completeness timeliness and reliability of data used for analytics AI models and clinical decision support tools.

Performance & Value Realization

• Outcome Measurement
  • Define and monitor KPIs for AI initiatives and communicate impact to executive leadership and the board ensuring measurable value and alignment with organizational goals.

Partnerships & Thought Leadership

• External Innovation & Industry Collaboration
  • Cultivate partnerships with tech companies academic institutions and AI vendors to accelerate Coopers AI maturity and innovation pipeline.
• Healthcare AI Thought Leadership
  • Represent Cooper nationally as a leader in responsible AI adoption and healthcare transformation.

Regulatory Compliance & Risk Management

• Ensure compliance with HIPAA CMS OCR FDA (for clinical AI) and emerging AI -related regulatory requirements.
• Work with Privacy Security Legal and Compliance to manage data -related risks including model input governance and data access transparency.

Foundational Responsibilities

Demonstrate Cooper Core Values Service Standards and Leadership Must -Haves. Utilize AIDET at all

times.

AI-Focused Competencies

(With data and analytics reframed as supporting capabilities)

• AI Strategy & Policy Development
  • Expertise in enterprise AI strategy responsible AI frameworks governance and implementation.
• AI Literacy & Change Leadership
  • Ability to translate complex AI concepts into operational and clinical value; lead organization -wide readiness efforts.
• Machine Learning & Advanced Analytics
  • Understanding of predictive modeling LLMs natural language processing graph technologies and automation.
• AI-Ready Data Foundations
  • Knowledge of data structures architectures (e.g. data fabric mesh) data integration and metadata management as a prerequisite for operationalizing AI.
• Responsible AI & Compliance
  • Understanding of model risk bias detection validation privacy security and regulatory considerations.
• Optional (Preferred):
  • Familiarity with analytics tools enterprise information systems and content management environments.

Management & Operational Responsibilities

• Develop and manage the CAIO office budget.
• Lead an enterprise AI Center of Excellence to continuously elevate organizational AI capabilities.
• Define team roles recruit talent and manage distributed AI and data professionals.
• Oversee AI platform architecture with optional partnership with the CIO for shared technology operations and horizon scanning of emerging AI capabilities.

• 5-7 years prior experience in analytics or organizational performance improvement
• Knowledge and understanding of relevant legal and regulatory requirements
• Demonstrated Legal IT contract knowledge
• Strong communication and relationship management skills.
• Sound knowledge of business management and a working knowledge analytics and AI tools and processes
• Up-to-date knowledge of methodologies and trends in both business and IT

Bachelors Degree required