Oracle · Czech Republic

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

Czech RepublicFull-timeManager or leadHealthcare & Clinical

Listed on Oracle’s official careers site. Posted November 3, 2026. Check that it is still open and apply there.

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Job description

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.

Responsibilities

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.

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