Oracle Health is developing patient-and provider-centric solutions rapidly and securely. We use the value of Oracle Cloud Infrastructure (OCI) to our customers as we work across patient, provider, payor, public, population health and life science industries. At OH (Oracle Health), you will work with authorities across industries and have access to the latest technology. We apply artificial intelligence, machine learning, large language models, learning networks, and other data intelligence and analytics in an applied way, embedded into our solutions.
For UK and EU markets:
1. Drive product strategy and roadmap for Clinical, Patient, and broader healthcare AI Agent capabilities, with a strong focus on technically complex features and integrations.
2. Engage directly with regional and international healthcare customers to understand workflows, regulatory expectations, and functional requirements for AI-driven clinical decision support and automation.
3. Collaborate closely with cross-functional product management, engineering, data science, and UX teams to translate customer needs into clear, actionable product requirements.
4. Serve as a key liaison for international go-to-market activities, supporting sales teams, partner enablement, and customer pre-sales conversations across multiple regions.
5. Act as a customer advocate by monitoring solution performance, gathering feedback, and driving continuous improvement in AI accuracy, safety, and clinical usability.
6. Leverage strong technical background to work effectively with developers and architects on AI model behavior, system performance, interoperability, and deployment considerations.
7. Utilise healthcare domain expertise—clinical workflows, EHR systems, and data standards—to guide product decisions; experience with Oracle Health (Millennium) preferred but not required.
8. Support global customer engagement efforts, including demos, technical deep dives, and early-adopter programs, ensuring successful adoption and market readiness.
9. Lead the end-to-end product lifecycle for Clinical, Patient, and enterprise-level Healthcare AI Agent capabilities, ensuring alignment with clinical workflows, safety, and regulatory expectations.
10. Gather and synthesise requirements from regional and international healthcare customers, including clinical leaders, IT teams, and operational stakeholders, to shape the AI Agent product roadmap.
11. Translate complex customer needs into detailed functional requirements and collaborate with engineering, data science, and UX teams to drive technical execution.
12. Partner with the broader functional product management group to prioritise features, define acceptance criteria, and ensure consistent delivery across global markets.
13. Work closely with international go-to-market teams to support product launch readiness, including sales enablement, partner training, competitive positioning, and solution messaging.
14. Provide pre-sales and post-sales support by participating in customer demos, responding to technical and workflow questions, and guiding customers through adoption and implementation.
15. Act as a customer advocate by monitoring product performance, collecting feedback, identifying gaps, and driving continuous improvement in AI accuracy, reliability, and clinical relevance.
16. Collaborate with internal teams on compliance, interoperability, cloud deployment, and integration with clinical systems; experience with Oracle Health (Millennium) preferred but not required.
Your Qualifications
17. 7+ years of professional experience in product management, including owning roadmaps and shipping cloud/SaaS products across multiple countries/regions
18. 3+ years of proven track record delivering successful, regulated software products (., healthcare solutions, EHR/EMR modules, clinical decision support, or similar) with measurable outcomes
19. Demonstrated experience in European market expansion: localisation pricing/packaging, partner/channel strategy, and post‑launch iteration
20. Hands-on familiarity with AI/ML in products (model integration and evaluation, human-in-the-loop workflows, monitoring for drift/bias) with responsible AI practices
21. Technical fluency: APIs/SDKs, cloud architectures (IaaS/PaaS/SaaS), data platforms and pipelines, CI/CD, observability, reliability/SLOs; ability to write clear PRDs and navigate technical trade-offs
22. Experience working with or within EHR ecosystems (., Oracle Health, Epic, Meditech) and healthcare interoperability standards (., HL7, FHIR, ICD, SNOMED, DICOM)
23. Knowledge of EU/UK regulatory and compliance requirements (GDPR/UK DPA, EU AI Act readiness, MDR/IVDR awareness), data residency/localisation, identity and access management, and privacy-by-design
24. Experience with Go-to-Market strategy and full product lifecycle management from concept through delivery and iteration
Preferred Qualifications
25. Experience shipping AI/ML features in Europe and navigating public procurement (., NHS, national health authorities)
26. Demonstrated success scaling large healthcare or analytics platforms across multiple European markets
27. Understanding of multiple European languages preferred, especially English (UK), Spanish, and German
28. Bachelor’s degree in computer science, engineering, information systems, or a closely related healthcare/technical discipline
Career Level - IC4