Req ID: 367045
We are currently seeking a
AI Solution Business Analyst - Remote to join our team in United States (US).
Solution Business Analyst - HealthcareRole SummaryWe are seeking an experienced
Solution Business Analyst (SBA) with deep
Healthcare domain expertise and hands-on experience in
AI-driven and Agentic solutions. The ideal candidate will act as a strategic bridge between
business stakeholders, clinical users, engineering teams, and data science teams, translating healthcare problems into scalable AI-powered solutions.
The role focuses on designing and delivering
AI Agent-based healthcare solutions such as intelligent virtual agents, clinical decision support, care coordination assistants, patient engagement bots, automation for claims and revenue cycle management, and operational optimization.
Key ResponsibilitiesBusiness & Domain Analysis- Engage with healthcare stakeholders (providers, payers, life sciences, operations, compliance, IT) to understand business needs, workflows, and pain points.
- Analyze as-is and to-be healthcare workflows, including clinical, administrative, operational, and financial processes.
- Identify opportunities where AI Agentic systems can improve outcomes, reduce costs, or enhance efficiency.
AI Solution Design & Requirements- Define business, functional, and non-functional requirements for AI-powered and agent-based solutions.
- Collaborate with AI/ML, data engineering, and solution architecture teams to design:
- Autonomous or semi-autonomous AI agents
- Multi-agent workflows
- Human-in-the-loop systems
- Translate requirements into:
- User stories / epics
- Process flows
- Decision logic
- Agent orchestration diagrams
Healthcare AI Use Cases- Support AI solutions across healthcare use cases such as:
- Patient engagement & virtual health assistants
- Clinical decision support systems (CDSS)
- Care management & population health
- Claims automation & prior authorization
- Revenue cycle management
- Clinical documentation & EHR automation
- Ensure solutions align with clinical safety, quality, and usability standards.
Data, Compliance & Governance- Work with data teams to define data requirements, sources (EHR, HL7/FHIR, claims, IoT, labs), and quality metrics.
- Ensure AI solutions comply with healthcare regulations and standards including:
- HIPAA
- GDPR (where applicable)
- HL7 / FHIR
- Clinical governance and audit requirements
- Assist in defining explainability, auditability, and bias mitigation requirements for AI agents.
Stakeholder & Delivery Management- Serve as a trusted advisor to clients and internal stakeholders.
- Facilitate workshops, requirement sessions, and solution walkthroughs.
- Support Agile delivery by participating in:
- Sprint planning
- Backlog grooming
- UAT coordination
- Assist with solution documentation, demos, and go-live support.
Required Skills & ExperienceCore Experience- 6+ years of experience as a Business Analyst / Solution Analyst in the Healthcare domain.
- Strong understanding of healthcare ecosystems (providers, payers, life sciences, EHR systems).
- Hands-on experience working on AI, ML, NLP, or automation-driven solutions.
AI & Agentic Knowledge- Understanding of:
- AI Agents and Agentic workflows
- LLM-based solutions (chatbots, copilots, virtual assistants)
- Human-in-the-loop AI systems
- Ability to translate business needs into AI agent behaviors, prompts, and workflows.
- Familiarity with AI risks, ethics, and governance in healthcare.
Technical & Analytical Skills- Experience with:
- Requirement modeling (BPMN, UML)
- User stories and acceptance criteria
- API-based and data-driven architectures
- Working knowledge of:
- EHR systems (Epic, Cerner, etc.)
- HL7, FHIR standards
- Cloud-based AI platforms (Azure, AWS, GCP - preferred)
Soft Skills- Excellent stakeholder management and communication skills.
- Ability to explain complex AI concepts to non-technical and clinical users.
- Strong problem-solving and critical thinking mindset.
- Collaborative and adaptable in fast-paced, innovation-driven environments.
Preferred Qualifications- Experience delivering AI products or agent-based platforms in healthcare.
- Exposure to GenAI, LLM orchestration frameworks, or autonomous agents.
- Bachelor's degree in Healthcare, IT, Engineering, or related field (Master's preferred).
- Certifications such as:
- CBAP / CCBA
- Healthcare IT certifications
- Agile / Scrum BA certification
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