Sr Healthcare AI Project Manager

Cayuse HoldingsAtlanta, GA
$100 - $170Hybrid

About The Position

We are seeking an experienced Project Manager to lead the enterprise-wide Artificial Intelligence Transformation Strategy discovery phase. This role operationalizes cross-functional coordination between clinical, administrative, and financial executives and advanced data science engineering teams. The core mandate is to drive structured workshops, manage project scope, and deliver an actionable, multi-year AI investment roadmap synthesizing unstructured institutional pain points.

Requirements

  • 10+ years of progressive IT PM experience, driving discovery or strategy in a matrixed health system.
  • Understanding of data science lifecycles, structured/unstructured ingestion, NLP, LLMs, and clinical safety bounds.
  • Mastery navigating both Agile/Scrum structures and traditional structured framework controls.
  • Proven capacity aligning C-Suite executives, clinical chiefs, and directors around strict deliverables.
  • Must execute face-to-face workshop facilitation inside Atlanta area client facilities as operationally required.
  • Advanced proficiency in Smartsheet, Jira, Asana, MS Project, and visualization mapping tools (Visio, Lucidchart, Miro).

Nice To Haves

  • 10+ years of progressive IT PM experience, driving discovery or strategy in an Academic Medical Center.
  • PMP Certification

Responsibilities

  • Architect master plan, timeline, and track milestone delivery for 100+ executive discovery sessions.
  • Track, mitigate, and resolve administrative, clinical, and operational risks, issues, and project dependencies.
  • Monitor active deployment tracking for financial capital, human resources, data pipelines, and infrastructure.
  • Secure and integrate high-viability AI use cases from peer Academic Medical Centers into the final roadmap.
  • Organize and align workflow owners, process leads, and data SMEs for future deployment phases.
  • Document organizational adoption readiness, executive champions, cultural friction, and speed factors.
  • Maintain blended methodology timeline oversight across discovery streams covering: Clinical Operations, Nursing Workflow, Human Resources, Finance Modeling, Revenue Cycle, Supply Chain, Contact Centers, Patient Access, Digital Services, Shared Services, Admin & Legal.
  • Track and deploy immediate tactical initiatives leveraging existing personnel, data, and minimal capital (Tier 1: AI Quick Wins).
  • Drive planning for high-ROI use cases requiring technical architecture and complex business modeling (Tier 2: Deep Discovery).
  • Coordinate enterprise-transformative projects slated for formal submission into Capital Planning (Tier 3: Capital Pipeline).
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