Oracle Health Analytics empowers customers to build and act on insights from health data across a complex, multi-tenant cloud environment. Our suite of products addresses challenging dependencies from legacy tools to modern analytics platforms —ensuring our customers remain at the forefront of healthcare innovation. We are seeking an IC6-level engineering leader to architect and drive the next generation of data-driven solutions in health analytics.
Career Level - IC6
Internal Responsibilities
- Architectural Leadership: Design and lead the development of scalable, high-performance data warehouse and analytics platforms that integrate legacy and modern systems.
- AI-Enabled Innovation: Develop and deploy solutions that leverage advanced AI, including LLMs (e.g., GPT-based models), agentic architectures, and deep research methodologies, to enhance data insights and automate complex analytics.
- Transformational Change: Challenge existing architectural assumptions and spearhead deep system transformations to support next-generation health analytics capabilities.
- Cross-Functional Collaboration: Partner with executive leadership, product teams, and external stakeholders to align technical strategy with business objectives, particularly in the health data space.
- Mentorship & Culture: Inspire and mentor engineering teams, fostering an environment of innovation, continuous learning, and technical excellence.
PREFERRED SKILLS & EXPERIENCE
• 15+ years of experience delivering and operating large-scale, highly available distributed systems and data analytics platforms.
• Exceptional expertise in data warehouse technologies and analytics, with a proven track record working with platforms such as Databricks and Snowflake.
• Deep experience integrating AI and advanced analytics into data warehouses—developing solutions that utilize LLMs (e.g., GPT, Claude), agentic architectures, and other deep research frameworks to push the boundaries of traditional data paradigms.
• Strong proficiency in SQL, Python, Java (or equivalent), coupled with a solid grounding in data structures, algorithms, and distributed computing fundamentals.
• Proven ability to architect and implement complex integrations across legacy and modern analytics systems, ensuring data integrity and performance at scale.
• Excellent communication skills, technical acumen, and a strong product sense—able to navigate both business and technical landscapes.
PREFERRED PERSONAL CHARACTERISTICS AND LEADERSHIP SKILLS
• Transformational leader with a vision for how deep technical innovations can drive business outcomes in healthcare.
• Self-starter with relentless energy and a hands-on approach to tackling complex engineering challenges.
• Strong collaborator, able to mentor teams and cultivate an engineering culture centered on excellence and continuous improvement.
EDUCATION
A Bachelor’s degree in Engineering, Computer Science, or a related field is required; an advanced degree is a plus.
#LI-HR1
External Responsibilities
- Architectural Leadership: Design and lead the development of scalable, high-performance data warehouse and analytics platforms that integrate legacy and modern systems.
- AI-Enabled Innovation: Develop and deploy solutions that leverage advanced AI, including LLMs (e.g., GPT-based models), agentic architectures, and deep research methodologies, to enhance data insights and automate complex analytics.
- Transformational Change: Challenge existing architectural assumptions and spearhead deep system transformations to support next-generation health analytics capabilities.
- Cross-Functional Collaboration: Partner with executive leadership, product teams, and external stakeholders to align technical strategy with business objectives, particularly in the health data space.
- Mentorship & Culture: Inspire and mentor engineering teams, fostering an environment of innovation, continuous learning, and technical excellence.
PREFERRED SKILLS & EXPERIENCE
• 15+ years of experience delivering and operating large-scale, highly available distributed systems and data analytics platforms.
• Exceptional expertise in data warehouse technologies and analytics, with a proven track record working with platforms such as Databricks and Snowflake.
• Deep experience integrating AI and advanced analytics into data warehouses—developing solutions that utilize LLMs (e.g., GPT, Claude), agentic architectures, and other deep research frameworks to push the boundaries of traditional data paradigms.
• Strong proficiency in SQL, Python, Java (or equivalent), coupled with a solid grounding in data structures, algorithms, and distributed computing fundamentals.
• Proven ability to architect and implement complex integrations across legacy and modern analytics systems, ensuring data integrity and performance at scale.
• Excellent communication skills, technical acumen, and a strong product sense—able to navigate both business and technical landscapes.
PREFERRED PERSONAL CHARACTERISTICS AND LEADERSHIP SKILLS
• Transformational leader with a vision for how deep technical innovations can drive business outcomes in healthcare.
• Self-starter with relentless energy and a hands-on approach to tackling complex engineering challenges.
• Strong collaborator, able to mentor teams and cultivate an engineering culture centered on excellence and continuous improvement.
EDUCATION
A Bachelor’s degree in Engineering, Computer Science, or a related field is required; an advanced degree is a plus.
#LI-HR1
