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.