Lead Data Architect - Oracle Health

Looking for a Lead Data Architect to help deliver game-changing analytics and tools that capture the value of Oracle Health's next generation of fully AI-integrated clinical applications.

Oracle Health Advance is a customer-facing analytics platform that helps healthcare organizations identify improvement opportunities by comparing clinician efficiency and adoption metrics to peer benchmarks, presenting actionable insights via dynamic visualizations, and enabling collaborative, data-driven improvement projects across the enterprise.

As a Lead Data Architect on the Oracle Health Advance research and development team, you will lead the design and development of analytics that power our next-generation electronic health record insights platform. You will define scalable data architectures, guide the development of robust data pipelines, and drive the integration of diverse healthcare data sources across Oracle Health's ecosystem, including its new electronic health record and suite of clinical AI agents.

In this role, you will partner cross-functionally with product, engineering, clinical, and business stakeholders to translate complex healthcare and performance data into actionable intelligence. You will play a key role in shaping data strategy, defining high-impact metrics, and enabling enterprise-wide improvement initiatives. Your leadership and technical expertise will influence the direction of data products, ensuring they deliver measurable value to clinicians and healthcare organizations globally.

You will also mentor junior team members, establish best practices in data architecture, CI/CD, analytics, and contribute to the long-term vision of Oracle Health Advance.

• 6-10+ years of relevant work experience in data architecture, analytics, or related fields
• Advanced expertise in data modeling, data architecture, and building scalable data systems
• Strong technical skills in data acquisition and manipulation using advanced SQL
• Proficiency in Python, R, or similar languages for large-scale data processing and analysis
• Experience designing and optimizing complex, cloud-based data pipelines and distributed data systems
• Strong understanding of object-oriented programming, data structures, and system design principles
• Deep expertise in data visualization tools such as Tableau, Power BI, or Oracle Analytics Cloud (OAC), with a focus on driving executive-level insights
• Experience leading the development of data-intensive applications in cloud environments (OCI, AWS, Azure)
• Familiarity with electronic health records (EHRs), clinical workflows, and healthcare data standards is a plus
• Experience with statistical modeling, experimentation, and applied machine learning
• Demonstrated ability to define data strategy and align technical solutions with business objectives
• Strong communication skills, with the ability to influence senior stakeholders and translate complex findings into clear, actionable recommendations
• Proven ability to lead projects, prioritize work across competing initiatives, and drive execution in ambiguous environments
• Experience mentoring or guiding junior engineers or analysts
• Strong analytical mindset with a focus on using metrics to drive decision-making and behavioral change
• Curiosity, creativity, and a track record of solving complex, ambiguous problems

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

 Oracle offers integrated suites of applications plus secure, autonomous infrastructure in the Oracle Cloud. For more information about Oracle (NYSE: ORCL), please visit us at www.oracle.com.

Our mission is to help people see data in new ways, discover insights, unlock endless possibilities.