AI Product Business Analyst

About the role

The AI Product Business Analyst will serve as the vital link between our clinical operations teams and our AI development team. This position will be responsible for creating complex medical coding requirements from subject matter experts and translating them into actionable user stories and functional specifications for our Agentic AI engine.

Responsibilities

• Conduct workshops with Clinical SMEs and RCM experts to document specialty-specific coding rules and nuances.
• Write detailed user stories, acceptance criteria, and functional requirements specifically for AI/ML features (e.g. The model must identify unbundled procedures in cardiology charts).
• Translate high-level business goals into technical requirements that include data labeling instructions, expected model outputs, and edge-case handling.
• Define and execute User Acceptance Testing (UAT) strategies to ensure the AI engine’s output meets the documented business requirements.
• Manage and prioritize the product backlog, ensuring the AI development team always has a “definition of ready” for the next sprint.
• Identify discrepancies between current manual coding workflows and the proposed AI-automated states, proposing logic-based solutions to bridge the gap.
• Assist in mapping clinical data elements from various HER/EMR systems to the standardized inputs required by the auto-coding engine.

Requirements

• Bachelor’s degree in business, computer science, health informatics, or a related field.
• 5+ years as a business analyst, with at least 2 years focused on AI, machine learning, or advanced analytics products.
• Exceptional skill in writing user stories within an Agile framework, specifically for complex logic-based systems.
• Solid understanding of how AI models are trained and the difference between deterministic logic and probabilistic AI outputs.
• Expert proficiency in Jira, Confluence, and wireframing/flowcharting tools (e.g. Lucidchart, Visio).

Key Success Indicators/Attributes

• The ability to capture clinical nuances so clearly that developers require minimal “back-and-forth” to begin model training.
• A data-driven approach to evaluating model performance against initial business requirements.
• The ability to walk a clinical coder through an AI workflow and turn their feedback into a technical improvement.
• Comfort with “if-then-else” logic structures and how they translate into machine learning decision-making.

Qualifications

• No supervisory responsibility.
• Work Environment: Remote home office.
• Physical Demands: Occasional standing, walking, sitting, reaching, climbing stairs, stooping, kneeling, crouching, crawling, talking, and hearing. Must occasionally lift up to 25 pounds.
• Position Type/Expected Hours of Work: Full-time, Monday through Friday, 8:00 a.m. to 5:00 p.m., with occasional long hours and weekend work.
• Travel: Up to 10%.

Benefits

• Comprehensive benefits package including health, dental, and vision coverage, voluntary insurance options, a 401(k) plan with employer match, professional development opportunities, paid time off, and holiday pay.
• Eligible employees may also have the opportunity to participate in bonus programs, commissions, or other variable incentive plans.