NTT DATA North America is a leading business and technology services provider, and they are seeking an experienced AI Solution Business Analyst with deep Healthcare domain expertise. The role focuses on acting as a strategic bridge between business stakeholders and technical teams to design and deliver AI-driven healthcare solutions.
Responsibilities:
- 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
- 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 agentsMulti-agent workflowsHuman-in-the-loop systemsTranslate requirements into: User stories / epicsProcess flowsDecision logicAgent orchestration diagrams
- Support AI solutions across healthcare use cases such as: Patient engagement & virtual health assistantsClinical decision support systems (CDSS)Care management & population healthClaims automation & prior authorizationRevenue cycle managementClinical documentation & EHR automationEnsure solutions align with clinical safety, quality, and usability standards
- 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: HIPAAGDPR (where applicable)HL7 / FHIRClinical governance and audit requirementsAssist in defining explainability, auditability, and bias mitigation requirements for AI agents
- Serve as a trusted advisor to clients and internal stakeholders
- Facilitate workshops, requirement sessions, and solution walkthroughs
- Support Agile delivery by participating in: Sprint planningBacklog groomingUAT coordinationAssist with solution documentation, demos, and go-live support
Requirements:
- 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
- Understanding of AI Agents and Agentic workflows
- Understanding of LLM-based solutions (chatbots, copilots, virtual assistants)
- Understanding of 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
- Experience with Requirement modeling (BPMN, UML)
- Experience with User stories and acceptance criteria
- Experience with API-based and data-driven architectures
- Working knowledge of EHR systems (Epic, Cerner, etc.)
- Working knowledge of HL7, FHIR standards
- Working knowledge of Cloud-based AI platforms (Azure, AWS, GCP – preferred)
- 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
- 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