Enterprise AI Enablement Lead

Job not on LinkedIn

🔥 15 minutes ago

Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of Jorie AI

Jorie AI

1001 - 5000 employees

🤖 Artificial Intelligence

⚕️ Healthcare Insurance

💳 Fintech

Artificial Intelligence • Healthcare Insurance • Fintech

Jorie AI is a company that revolutionizes the healthcare and finance industries by providing advanced AI-driven solutions. Specializing in revenue cycle management (RCM), Jorie AI leverages robotic process automation and powerful business intelligence tools to streamline financial and healthcare operations, increase profitability, and enhance reporting. Their services include maximizing operational output, managing resources, and structuring seamless flows of critical patient and financial data. Jorie AI focuses on delivering custom automation solutions tailored to clients' objectives to improve patient outcomes, physician satisfaction, and financial margins. The company is known for its innovative use of AI in healthcare claim management and revenue cycle consulting, significantly reducing operational inefficiencies and improving financial performance.

📋 Description

• Enterprise AI Enablement 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.

🎯 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. • Preferred Qualifications: 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.

Apply Now

Similar Jobs

🔥 1 hour ago

Cornelis Networks

51 - 200

🤖 Artificial Intelligence

🔧 Hardware

🏢 Enterprise

Linux Kernel Engineer developing high-performance AI and HPC fabric software. Responsible for optimizing drivers and collaborating with silicon architects in a global team.

🔥 2 hours ago

Veracity Insurance Solutions, LLC

51 - 200

🤝 B2B

📋 Compliance

Lead AI Engineer shaping AI architecture and strategy for digital insurance platform at Veracity, ensuring integration and reliability of AI systems while collaborating across teams.

🔥 3 hours ago

InsCipher

11 - 50

☁️ SaaS

🤝 B2B

🔌 API

Lead AI Engineer at InsCipher creating AI solutions for digital insurance platform. Shaping enterprise AI strategies and collaborating cross-functionally to enhance customer outcomes.

🔥 3 hours ago

Empower

10,000+ employees

💸 Finance

💳 Fintech

👥 B2C

Leading the architectural strategy for Generative AI and AI platform capabilities. Defining data structures and flows to support AI-driven use cases within a financial services context.

🔥 3 hours ago

brightwheel

201 - 500

📚 Education

☁️ SaaS

🤝 B2B

Senior Software Engineer developing AI-powered products for Brightwheel's early education platform. Collaborating on designs, implementations, and solutions for core workflows.