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NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers, and application services. Our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.
AI Solution Business Analyst
Location
United States
Posted
57 days ago
Salary
0
Seniority
Mid Level
No structured requirement data.
Job Description
AI Solution Business Analyst
NTT DATA Services
Role Description We 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 Responsibilities - Business & 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. Qualifications - 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. Requirements - 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. - 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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