Job Description

Oracle Health & AI (OHAI)

is a newly formed business unit committed to transforming the healthcare industry through our expertise in IaaS and SaaS. Our mission is to deliver patient-centered care and make advanced clinical tools accessible globally ( learn more ). We're assembling a team of innovative technologists to build the next-generation health platform--a greenfield initiative driven by entrepreneurship, creativity, and energy. If you thrive in a fast-paced, innovative environment, we invite you to help us create a world-class engineering team with a meaningful impact.


The

OHAI Patient Accounting Analytics Team

focuses on delivering cutting-edge reporting metrics and visualizations for healthcare financial data. Our goal is to transform healthcare by automating insurance and patient billing processes, helping optimize operations and reimbursement processes. Our solutions leverage a blend of reporting platforms across both on-premises and cloud infrastructure. As we expand reporting capabilities on the cloud and make use of AI, we're looking for talented professionals to join us on this exciting journey.

What

We are looking for an accomplished and experienced Consulting Member of Technical Staff with in-depth knowledge of Oracle Analytics Cloud (OAC) to lead the design, development, integration, and optimization of analytics solutions. In this role, you will serve as a technical leader, guiding solution architecture and promoting best practices in data modeling, visualization, and cloud analytics. You will collaborate with cross-functional teams and provide mentorship to other engineers.


In addition to strong proficiency in OAC, experience with Oracle Machine Learning (OML) on Autonomous Data Warehouse (ADW) and within OAC is required. The ideal candidate will be skilled in integrating OML capabilities, developing advanced analytics solutions, and supporting data-driven business strategies to unlock actionable insights.

Minimum Qualifications

Bachelor's/Master's degree in Computer Science, Information Systems, Data Science or a related field. 10+ years of experience in analytics, business intelligence, or data engineering roles, with 3+ years hands-on with Oracle Analytics Cloud. Deep expertise in OAC features: Data Flows, Visualization, Semantic Modeling, Security, and Scheduling. Advanced SQL skills and proficiency integrating OAC with diverse data sources (Oracle DB, REST APIs, cloud and on-prem sources). Experience with cloud infrastructure and deployment (OCI preferred). Demonstrated ability to deliver scalable, enterprise-grade analytics solutions. Knowledge of security, privacy, and role-based access best practices. Strong collaboration, documentation, and presentation skills.

Preferred Qualifications

Experience with healthcare / financial systems. Oracle Analytics Cloud and/or OCI certifications. Experience with other BI/analytics platforms (e.g., Tableau, Power BI). * Proficiency in scripting/programming for automation (e.g., Python, Shell).