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.
What you’ll do
- Lead a high-performing engineering team focused on healthcare escalations, automation, and EHR integrations.
- Own critical escalation management: drive root cause analysis, implement sustainable fixes, and reduce repeat incidents for high-severity healthcare issues.
- Define and execute the roadmap for automation, observability, and AI/ML adoption to improve reliability, predictive monitoring, and self-healing capabilities.
- Partner directly with healthcare customers on EHR modernization, interoperability, and clinical trial data integrations; ensure alignment with HIPAA, FHIR, HL7, and related standards.
- Establish a culture of continuous improvement through playbooks, metrics dashboards, and knowledge sharing.
- Mentor and grow talent; foster technical excellence, leadership development, and a customer-first mindset.
- Collaborate across product and engineering to influence roadmaps; represent DSE as a thought leader for healthcare integration and clinical reporting reliability.
Job description provided by Oracle.
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