[Remote] AI Project Manager
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
Company H1B Sponsorship