Enterprise AI Enablement Lead

Jorie AI • Oak Brook, IL

4d

About The Position

Jorie Healthcare Partners is seeking an Enterprise AI Enablement Lead to drive the responsible adoption of Artificial Intelligence technologies across the organization. This individual will serve as the organization's internal AI enablement expert, partnering with business units to identify opportunities where AI can improve productivity, reduce repetitive work, streamline business processes, and enhance employee effectiveness while maintaining information security, regulatory compliance, and appropriate human oversight. This is not a software engineering, data science, or machine learning development role. Instead, this position serves as an internal consultant and strategic advisor, helping employees effectively adopt AI technologies through education, workflow consulting, process improvement, governance coordination, and organizational change management. Working closely with Information Technology, Information Security, Compliance, Human Resources, Development, Revenue Cycle Management, and Operations, this individual will help ensure AI is introduced in a manner that improves employee effectiveness while preserving organizational knowledge, human expertise, regulatory compliance, and business continuity.

Requirements

• Bachelor's degree in Information Technology, Business Administration, Healthcare Administration, Business Process Improvement, Organizational Development, related discipline, or equivalent professional experience.
• Five (5) or more years of experience in Information Technology, Digital Transformation, Business Process Improvement, Enterprise Applications, Automation, Healthcare Operations, or related disciplines.
• Experience supporting organizations operating under HIPAA, HITRUST, NIST, FedRAMP, or comparable regulatory and security frameworks.
• Strong understanding of healthcare privacy, cybersecurity, compliance, and enterprise governance principles.
• Experience with enterprise AI platforms such as Microsoft Copilot, Azure OpenAI, ChatGPT Enterprise, or similar enterprise AI technologies.
• Demonstrated experience facilitating organizational change, technology adoption, or business transformation initiatives.
• Excellent presentation, facilitation, communication, consulting, and relationship management skills.

Nice To Haves

• Experience implementing enterprise automation solutions including Robotic Process Automation (RPA), Microsoft Power Platform, workflow automation, or similar technologies.
• Experience supporting healthcare Revenue Cycle Management operations.
• Familiarity with Microsoft 365 Copilot, Azure AI Services, Power Platform, or enterprise AI ecosystems.
• Experience leading enterprise technology adoption or organizational enablement initiatives.
• Familiarity with HITRUST, HIPAA, FedRAMP, NIST CSF, ISO 27001, or comparable governance frameworks.
• Lean Six Sigma, PMP, CBAP, Prosci Change Management, ITIL, or related professional certifications.

Responsibilities

• Lead enterprise-wide AI adoption initiatives across business and technical departments.
• Evaluate business processes to identify opportunities for AI-assisted productivity improvements.
• Develop enterprise AI implementation playbooks, reusable workflow patterns, and department-specific adoption strategies.
• Assist departments in determining when Artificial Intelligence, Robotic Process Automation (RPA), workflow automation, APIs, or traditional process improvements represent the most appropriate solution.
• Promote AI as a productivity enhancement tool that augments employee capability while preserving critical business knowledge and decision-making.
• Conduct AI Opportunity Assessments with business leaders to identify repetitive work, knowledge-intensive activities, and workflow bottlenecks suitable for AI-assisted automation.
• Analyze departmental workflows and recommend practical AI solutions that improve efficiency and business outcomes.
• Design AI-enabled business workflows that improve operational effectiveness while preserving appropriate human oversight and accountability.
• Partner with department leadership to prioritize AI initiatives based on business value, operational readiness, organizational impact, and regulatory considerations.
• Facilitate workshops that help departments identify practical AI use cases and develop implementation roadmaps.
• Develop and deliver enterprise AI education programs for technical and non-technical employees.
• Deliver role-based AI enablement training tailored to departments including Development, Revenue Cycle Management, Operations, Finance, Human Resources, and Information Technology.
• Teach effective prompting, AI verification techniques, responsible AI usage, AI limitations, and methods for validating AI-generated content.
• Develop AI best practices that encourage employees to understand, validate, and appropriately apply AI-generated recommendations.
• Maintain internal AI documentation, implementation standards, approved use-case libraries, and enterprise AI knowledge resources.
• Provide ongoing AI coaching through workshops, office hours, and departmental consultations.
• Partner with Information Security, Compliance, and Legal to operationalize enterprise AI standards.
• Translate organizational policies, security standards, and regulatory requirements into practical AI implementation guidance.
• Coordinate AI implementation reviews and risk assessments with appropriate governance stakeholders.
• Assist with the development and maintenance of AI-related standards, procedures, and implementation guidance while ensuring policy ownership remains with the appropriate governance teams.
• Maintain the organization's catalog of approved AI platforms, approved AI use cases, and enterprise AI implementation guidance.
• Monitor emerging AI technologies applicable to healthcare operations and enterprise business functions.
• Evaluate new AI capabilities for business value, security implications, regulatory alignment, and operational impact.
• Measure AI adoption, productivity improvements, employee engagement, and organizational outcomes.
• Track AI adoption metrics and business value to support continuous organizational improvement.
• Recommend enhancements to AI-enabled business processes and enterprise AI strategy.
• Identify opportunities to responsibly expand AI capabilities throughout the organization.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level