The IT Business Analyst – AI is responsible for analyzing business needs and translating them into technology and AI-driven solutions. This role serves as a bridge between business stakeholders, IT teams, and data/AI teams to ensure successful design, implementation, and optimization of systems and analytics initiatives.

The position plays a key role in identifying opportunities to leverage data, automation, and artificial intelligence to improve operational efficiency, decision-making, and overall organizational performance in a regulated healthcare environment.

Business Analysis & Requirements Gathering

• Partner with business leaders, clinical teams, and operations to understand needs and challenges
• Gather, document, and validate business and system requirements
• Translate business requirements into functional and technical specifications
• Ensure solutions align with organizational priorities and workflows

AI & Data-Driven Initiatives

• Support identification and prioritization of AI use cases (e.g., automation, analytics, reporting)
• Collaborate with data teams to define data requirements for AI and analytics solutions
• Assist in evaluating model outputs and ensuring alignment with business needs
• Support adoption of AI tools within operational and clinical workflows

IT Systems & Integration

• Analyze current systems, processes, and data flows to identify improvement opportunities
• Support system implementation, upgrades, and integrations
• Work with IT teams to ensure solutions are scalable, secure, and aligned with enterprise architecture

Cross-Functional Collaboration

• Serve as liaison between business units, IT, data teams, and vendors
• Facilitate meetings, workshops, and stakeholder discussions
• Ensure clear communication between technical and non-technical stakeholders

Governance, Risk & Compliance

• Ensure solutions meet data governance, privacy, and regulatory standards
• Support documentation required for audits, system validation, and compliance
• Assist in maintaining data quality, integrity, and security standards

Reporting & Insights

• Develop and support reporting tools, dashboards, and business intelligence outputs
• Analyze data trends and provide insights to support decision-making
• Monitor key performance indicators for IT and AI initiatives

Process Improvement

• Identify opportunities to streamline workflows and enhance efficiency
• Recommend improvements to business processes using technology and automation
• Support continuous improvement initiatives across departments