Job Description:
Job Qualification:
Undergraduate degree or equivalent experience.
Minimum 5 Years experience in Business Analysis in healthcare including providing overall support, maintenance, configuration, troubleshooting, system upgrades, and more for Healthcare Applications.
Good experience on EMR / RCM systems
Demonstrated success in running EMR / RCM / UM, CM and DM systems support in requirements, UAT, deployment supports
Experience working with stakeholders, gathering requirements, and taking action based on their business needs
Proven ability to work independently without direct supervision
Proven ability to effectively manage time and competing priorities
Proven ability to work with cross-functional teams
Core AI Understanding
AI/ML Fundamentals: Understanding of supervised, unsupervised, and reinforcement learning.
Model Lifecycle Awareness: Familiarity with model training, evaluation, deployment, and monitoring.
Data Literacy: Ability to interpret data, understand data quality issues, and collaborate with data scientists.
AI Product Strategy
AI Use Case Identification: Ability to identify and validate AI opportunities aligned with business goals.
Feasibility Assessment: Understanding of whats technically possible with current AI capabilities.
AI/ML Roadmapping: Planning features and releases that depend on model development cycles.
Collaboration with Technical Teams
Cross-functional Communication: Ability to translate business needs into technical requirements and vice versa.
Experimentation & A/B Testing: Understanding of how to run and interpret experiments involving AI models.
MLOps Awareness: Familiarity with CI/CD for ML, model versioning, and monitoring tools.
AI Tools & Platforms
Prompt Engineering (for LLMs): Crafting effective prompts for tools like ChatGPT, Copilot, or Claude.
Responsible AI & Ethics
Bias & Fairness: Understanding of how bias can enter models and how to mitigate it.
Explainability: Familiarity with tools like SHAP, LIME, or model cards.
Regulatory Awareness: Knowledge of AI-related compliance (e.g., HIPPA, AI Act).
AI-Enhanced Product Management
AI in SDLC: Using AI tools for user story generation, backlog grooming, and documentation.
AI for User Insights: Leveraging NLP for sentiment analysis, user feedback clustering, etc.
AI-Driven Personalization: Understanding recommendation systems, dynamic content delivery, etc.
Keyskills: RCM systems EMR Admission Counselling Healthcare Domain Electronic Medical Record Care Management Provider Management Cpt Coding US Healthcare Utility Management EHR