Senior Manager - Clinical Development – DSE (Development Support Engineering) Oracle Health

Join Oracle Health’s DSE team and lead the engineering force behind resilient, modern healthcare integrations.

What sets this role apart
• Impact that matters: your work safeguards clinical workflows, interoperability, and patient outcomes.
• Technical breadth: cloud-native engineering, EHR integrations, observability, and applied AI/ML.
• Thought leadership: shape product strategy and reliability practices across Oracle Health.
• Culture of excellence: continuous improvement, measurable outcomes, and customer-first ownership

Basic qualifications:
• Bachelor’s or Master’s in Computer Science, Engineering, or a related technical field.
• 12+ years of experience in healthcare IT, clinical systems, or enterprise integrations, including 5+ years in leadership roles.
• Proven success managing critical, high-pressure healthcare system escalations.
• Strong expertise in healthcare data standards (HL7, FHIR, X12), EHR integrations, and clinical reporting systems.
• Experience building automation, diagnostics, and observability tooling in regulated environments.
• Deep understanding of healthcare compliance (HIPAA, 21 CFR Part 11, GxP; familiarity with interoperability mandates).
• Hands-on expertise applying AI/ML in enterprise support, including:
o ML for anomaly detection, log analysis, and predictive escalation management.
o Generative AI for guided troubleshooting, documentation, and automated remediation workflows.
o AI-powered observability/monitoring for proactive error detection and prevention.
o Knowledge of explainable AI and alignment with healthcare regulations (HIPAA, FDA, EU MDR).
• Exceptional stakeholder management with clear, executive-level communication.
• Demonstrated ability to translate field learnings into product direction.

Preferred experience
• 10+ years of relevant technical experience with 4–5 years in healthcare IT and integrations.
• Leadership of cloud-native solutions using microservices and Kubernetes.
• Deep familiarity with EHR workflows, interoperability (HL7/FHIR), clinical reporting, and regulatory submissions.
• Track record of automation-first engineering and rigorous RCA delivery.
• Strong background in building observability tooling, error detection, SLO/SLA management, and downtime reduction systems.
• Experience partnering with customers on EHR modernization, interoperability, and clinical trial data projects.
• Demonstrated AI/ML leadership embedding predictive and generative AI into observability, automation, and escalation management.
• Skilled in mentoring and scaling technical teams; building knowledge bases; driving cross-functional improvements.
• Comfortable operating in Agile, globally distributed delivery environments.