Note: The job is a remote job and is open to candidates in USA. Omega Healthcare Management Services is a company that empowers healthcare through intelligent solutions. The AI Project Manager will lead the end-to-end delivery of the auto-coding AI engine, ensuring seamless integration of AI models from research to production while managing risks and performance metrics.

Responsibilities

• Oversee the full AI/ML lifecycle, including data acquisition, annotation, model training, evaluation, and production deployment
• Manage and deliver solutions using GenAI components and leverage advanced techniques to get the best output/accuracy out of LLMs/SLMs
• Monitor KPIs related to AI model performance and drive/pivot strategies based on these KPIs and emerging trends in the industry
• Act as the primary bridge between Clinical SMEs, AI architects, and executive leadership to ensure technical builds align with RCM business goals
• Identify and manage risks unique to AI, such as 'data drift,' model hallucinations, and ethical compliance within healthcare regulations
• Manage the roadmap and sprint cycles for the AI development team, balancing long-term research goals with immediate client-specific coding requirements
• Refine the 'human-in-the-loop' feedback process to ensure clinical feedback is effectively integrated back into model training
• Define and track key performance indicators (KPIs) such as model accuracy, throughput, and ROI of automated coding vs. manual processes

Skills

• Bachelor's degree in business, computer science, or a related field
• 10+ years in Project or Program Management, with at least 3 years dedicated specifically to AI/ML/GenAI/AgenticAI products
• Expert proficiency in Agile/Scrum, with the ability to adapt these frameworks for the experimental nature of data science
• Strong understanding of ML concepts (e.g. training vs. inference, precision/recall, fine-tuning, and the basics of Agentic AI)
• Proficiency in Jira, Confluence, and ML-specific tracking tools (like Weights & Biases or MLflow)
• PMP or Agile certifications are a plus
• Direct experience managing health-tech projects or RCM software implementations
• Experience managing large-scale data labeling/annotation projects (either internal or with vendors)
• Experience leading organizational change when transitioning from manual human processes to AI-automated workflows

Benefits

• Health, dental, and vision coverage
• Voluntary insurance options
• A 401(k) plan with employer match
• Professional development opportunities
• Paid time off
• Holiday pay
• Bonus programs, commissions, or other variable incentive plans

Company Overview

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