AI Innovation Specialist

Care Initiatives•West Des Moines, IA

20h

About The Position

Care Initiatives is now hiring an AI Innovation Specialist to join our team. As the largest single operator of quality nursing homes in Iowa, Care Initiatives has over forty (40) skilled nursing communities, eight (8) hospice offices (and growing!), plus our own internal staffing agency. We are committed to providing exceptional care and support at every stage of the healthcare journey. The AI Innovation Specialist is responsible for identifying, evaluating, piloting, documenting, and supporting the responsible adoption of artificial intelligence (AI), generative AI, automation, and AI-enabled productivity tools across Care Initiatives. This role serves as a hands-on technical, analytical, and governance-focused resource that translates approved AI capabilities into practical, secure, compliant, and measurable solutions that enhance administrative, financial, operational, and clinical-support workflows. The position does not replace licensed clinical judgment and does not independently approve AI tools for use with protected health information (PHI), resident care decisions, or other regulated workflows. The AI Innovation Specialist partners closely with the AI Taskforce, Information Technology, Information Security, Compliance, Legal, Privacy, Human Resources, and operational leaders to: Maintain an AI use-case inventory Evaluate risk, value, and readiness Support and document AI pilots Develop staff training and guidance Ensure AI adoption aligns with organizational policies, HIPAA requirements, data-protection standards, vendor-management expectations, and applicable healthcare regulations

Requirements

Bachelor’s degree in information systems, computer science, data science, software development, analytics, healthcare informatics, cybersecurity, business technology, or a related field (or equivalent professional experience)
Three to five years of progressive experience in information technology, analytics, automation, business systems, cybersecurity, data governance, healthcare informatics, or a related field
Experience working in regulated environments (healthcare preferred)
Experience evaluating, piloting, or deploying AI or automation tools in a business setting
Working knowledge of artificial intelligence and generative AI concepts, including large language models, prompt design, and AI agents/assistants
Familiarity with Microsoft-centric environments and AI tooling, including: Microsoft 365 Copilot and Copilot Chat, Microsoft Entra ID (Azure AD) and Microsoft Purview, Microsoft operating systems and software platforms
Understanding of AI governance, responsible-use frameworks, and data-protection principles (e.g., NIST AI Risk Management Framework, OWASP Top 10 for LLMs)
Awareness of healthcare privacy, security, and compliance requirements, including HIPAA, PHI handling, minimum necessary use, Business Associate Agreement considerations, auditability, retention, and data loss prevention
Strong analytical and problem-solving skills with the ability to assess feasibility, risk, and value
Ability to work independently while organizing, prioritizing, and completing work
Strong interpersonal and communication skills
Ability to explain technical concepts clearly and tailor messaging to both technical and non-technical audiences
Functional literacy in written and spoken English
Ability to write routine reports and correspondence
Ability to speak effectively before groups of employees
Ability to apply common-sense understanding to carry out written, oral, or diagram-based instructions

Nice To Haves

One or more years of hands-on exposure to AI, generative AI, automation, analytics, or similar business technology platforms preferred

Responsibilities

Identify and assess practical AI, generative AI, and automation use cases across the organization
Translate approved use cases into clearly defined pilots and scalable solutions
Evaluate feasibility, value, and risk of AI-enabled tools
Support implementation while ensuring appropriate governance, controls, and documentation
Collaborate with cross-functional stakeholders to ensure compliance with privacy, security, and regulatory requirements
Prepare user guidance, training materials, and documentation to support adoption
Monitor outcomes and support continuous improvement of AI-enabled workflows