Own the end-to-end process to develop, evaluate, and test AI assistant products for hospital system clients.
Engage directly with health system employees to identify high-value use cases.
Conduct on-site product discovery with end users, including workflow mapping, key data and document requirements, product features, and evaluation metrics.
Align with stakeholders on product features, user groups, and rollout plan.
Leverage the QH Assistant Builder platform to develop and evaluate AI assistants; coordinate with the engineering team on technical support as needed.
Lead user training and testing; collect feedback.
Coordinate communications and customer support for assistant rollout.
Create presentations for regular check-ins and executive meetings.
Conduct data analysis to support use case business cases and impact analysis.
Lead user training webinars for existing product deployments.
Prepare monthly governance metrics for client accounts.
Document best practices and participate in team learning sessions.

Bachelor's degree in Computer Science, Data Science, Engineering, Business Analytics, or related technical field.
Recent graduate (0-2 years of experience) with demonstrated proficiency in generative AI technologies
Advanced understanding of GPT models, prompt engineering, and AI application development
Experience with data analysis tools and methodologies
Able to work onsite in Palo Alto 3 days/week

Business Analyst

Key skills