AI Business Analyst Intern at Resmed in San Diego, CA

Summary: ResMed is a company dedicated to creating innovative technology solutions for health care. They are seeking an AI Business Analyst Intern to identify and assess AI opportunities that enhance customer experiences and operational efficiency, working closely with business stakeholders and technical teams to translate needs into actionable requirements. Responsibilities: - Partner with stakeholders to understand business goals, pain points, and current processes; document as-is and to-be workflows - Identify and frame AI/GenAI use cases; develop problem statements, hypotheses, and value narratives - Translate needs into business requirements, user stories, and acceptance criteria (e.g., for RAG copilots, automation, forecasting, classification) - Define KPIs and measurement plans (accuracy/quality, time saved, adoption, cost, risk) and support experimentation/evaluation - Perform data discovery: identify source systems, data gaps, data quality issues, and requirements for governance/privacy - Build business cases including ROI, cost/benefit, risk assessment, and implementation options - Support solution delivery by coordinating with product, data science, engineering, and security teams; track progress and dependencies - Identify, implement and test software solutions that could best address the problem - Create clear stakeholder communications: decks, one-pagers, process maps, and demo narratives - Prepare summaries, presentations and documentation of the implemented solution Required Qualifications: - Ability to work full-time for 12 weeks during Summer 2026; program dates are May 18th – August 7th, 2026, OR June 15th – September 4th, 2026 - Currently pursuing a BS/MS in Business Analytics, Information Systems, Economics, Engineering, Data Science, or related field - Strong analytical and problem-solving skills; comfortable working with ambiguity - Ability to write clear requirements and communicate with both business and technical teams - Basic understanding of data concepts (tables, joins, metrics definitions) and the analytics lifecycle - Understanding AI/ML concepts (training vs inference, evaluation, overfitting, metrics) and algorithms Required Skills: AI/ML concepts, Business Analytics Important Skills: Data concepts, Analytical skills Nice-to-Have Skills: Problem-solving skills, Communication skills