Sr AI Enablement Business Analyst

Children's Mercy KCKansas City, MO
Hybrid

About The Position

The Senior Business Analyst, AI Enablement serves as the critical liaison between clinical departments, technical teams, and governance committees in Children's Mercy's multi-tiered AI governance framework. This role is responsible for gathering and translating complex clinical and operational requirements into actionable governance workflows, ensuring timely decision-making while maintaining rigorous standards for safety, compliance, and clinical outcomes. The Analyst conducts deep workflow analysis, documents requirements and processes, evaluates AI/automation solutions against clinical workflows, tracks governance decisions, and manages the intake and evaluation pipeline for AI opportunities. This position directly enables the AI Enablement leader to focus on strategic leadership and stakeholder alignment while ensuring the governance framework operates smoothly and consistently. Success in this role requires balancing speed with thoroughness, technical fluency with clinical empathy, analytical rigor with collaboration, and governance discipline with innovation enablement.

Requirements

  • Bachelor's Degree in Business, healthcare administration, information technology, operations, data science, or related field
  • 5-7 years' experience in healthcare operations, business process improvement, clinical informatics, cross-functional project coordination, or related experience.
  • Must live within driving distance of our main campus in KCMO.
  • Seasonal influenza vaccine is a condition of employment.
  • Willingness to be vaccinated if found non-immune to measles, mumps, rubella (MMR) and chicken pox (varicella) and/or without evidence of tetanus, diphtheria, acellular pertussis (Tdap) vaccination since 2005.

Responsibilities

  • Lead the discovery, analysis, and documentation of clinical, operational, and technical requirements to support AI solution evaluation and governance, ensuring complex needs are translated into clear, actionable artifacts that guide decision-making.
  • Provide the operational structure and administrative continuity for the organization's tiered AI governance model, ensuring committees, evaluations, and decision pathways run on time, are well-documented, and maintain accountability.
  • Serve as the connective tissue across clinical, technical, and governance teams, ensuring smooth collaboration, clear communication, and early identification of risks or dependencies, enabling alignment among diverse stakeholders and keeping AI initiatives moving forward.
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