Clinical Systems & AI Lead

About the Job

Contract Type: Full-Time Direct Hire (W2) Salary : $70,000/yr-$95,000/yr Location : Novi, MI Make the EHR serve the people doing the work. What you will own: Manage day-to-day EHR configuration, task routing, templates, reporting, user onboarding and role-appropriate access. Improve referral intake, scheduling, documentation, orders, results and follow-up workflows.

Observe both office and field work, teach users patiently, maintain clear procedures, and coordinate vendor escalation. Measure whether changes reduce rework, improve follow-through and save staff time. Responsible AI and automation: Lead focused pilots for documentation assistance, document handling, communications and other approved workflows.

Evaluate privacy, clinical accuracy and user experience before broader deployment. AI-generated clinical content remains subject to clinician review and authentication; automation must not independently diagnose, prescribe or make unreviewed clinical decisions. Use approved systems, documented permissions and appropriate contractual/privacy safeguards.

A realistic technical boundary: You are the internal owner of clinical applications and workflow, not the sole infrastructure engineer, cybersecurity specialist or custom software developer. Coordinate networking, backups, security and complex integrations with qualified IT and vendor specialists. Work with practice leadership on priorities and approvals; clinical policy remains with licensed clinicians.

Responsibilities

& Duties: What you bring: Demonstrated EHR administration or advanced super-user work: show what you personally configured, improved and taught. Direct APRIMA experience is strongly preferred; comparable ambulatory EHR expertise is considered. Nursing, MA or other hands-on clinical experience is valuable, but strong clinical-workflow understanding can also be demonstrated through implementation and training work.

We value calm troubleshooting, clear documentation, respectful teaching, discretion and completion of practical projects. AI implementation, reporting, revenue-cycle or interoperability experience is a plus—not a requirement to be expert in all of them.