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About
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
Human‑in‑the‑loop systems
Translate requirements into process flows
Support AI solutions across healthcare use cases such as:
Patient engagement & virtual health assistants
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.
Sprint planning
UAT coordination
Assist with solution documentation, demos, and go‑live support.
Required Skills & Experience Core 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:
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
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Nearest Major Market: Dallas
Nearest Secondary Market: Fort Worth
Job Segment: Business Analyst, Solution Architect, Consulting, Technology
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Languages
- English
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