Solutions Manager – ICE

🕒 il y a 9 jours

🇬🇧 Royaume-Uni – Télétravail

⏰ Temps Plein

🟡 Intermédiaire

🟠 Senior

💻 Ingénieur Solutions

🗣️🇺🇸🇬🇧 Anglais requis

D'où vient cette offre

Publiée sur la page carrières de Clinisys, pas via un site d'emploi

Repérée par Remote Rocketship il y a 9 jours

Toujours ouverte sur le site de Clinisys. Vérifiée il y a 2 heures.

Logo of Clinisys

Clinisys

1001 - 5000 employés

Fondée en 1988

🏥 Santé

🍽️ Alimentation et boissons

💼 Conseil

Healthcare • Food & Beverage • Consulting

Clinisys est un fournisseur mondial de solutions logicielles d'informatique et de diagnostics de laboratoire, proposant des systèmes de gestion de l'information de laboratoire (LIS/LIMS), des plateformes de laboratoire basées sur le cloud, ainsi que des services professionnels associés aux laboratoires des secteurs de la santé, des sciences de la vie, de l'environnement, de l'alimentation et des boissons, entre autres. Fort de plus de 40 ans d'expérience et de plus de 3 000 clients dans 34 pays, Clinisys offre des solutions qui soutiennent la traçabilité des échantillons, la conformité réglementaire, les tests à l'échelle de la population, et l'intégration de technologies émergentes telles que l'IA. L'entreprise combine une connaissance approfondie des marchés locaux et une portée mondiale, soutenue par des équipes de développement de produits, de support et de déploiement pour aider les organisations à gérer des opérations de laboratoire efficaces et conformes.

Description

• Lead customer requirements gathering, analysis, and solution definition activities • Own end-to-end functional and technical solution design • Produce and maintain HLDs, LLDs, training materials, and service handover documentation • Lead solution build, configuration, validation, testing, integrations, reporting, and deployment activities • Ensure solutions are delivered to agreed scope, quality standards, and timelines • Act as the primary technical escalation point throughout project delivery and User Acceptance Testing (UAT) • Build relationships with clinicians, laboratory leaders, technical teams, and project stakeholders • Deliver customer training, knowledge transfer, and transition-to-service activities • Support operational readiness and successful service handover • Facilitate lessons learned and continuous improvement activities • Manage risks, issues, dependencies, and resource requirements with Project Managers • Provide technical input into project governance, reporting, and delivery reviews • Support pre-sales activities, solution reviews, and change requests • Collaborate with Product, Consulting, and Technical teams • Drive standardisation, repeatability, and optimisation across delivery processes • Apply AI and automation tools to improve solution design, documentation, testing, troubleshooting, and delivery efficiency • Identify opportunities to improve laboratory workflows and customer outcomes through responsible use of AI • Promote an AI-first mindset while maintaining compliance with security, privacy, and healthcare regulatory requirements

🎯 Exigences

• Experience delivering complex software, healthcare technology, or digital transformation implementations • Experience leading customer-facing solution delivery projects • Knowledge of laboratory workflows, pathology services, and healthcare environments • Experience with Laboratory Information Systems (LIS) or Laboratory Information Management Systems (LIMS) • Understanding of healthcare interoperability standards such as HL7, FHIR, or equivalent • Experience working with integrations, databases, infrastructure, networking, and reporting solutions • Experience operating within structured project delivery methodologies • Strong troubleshooting, stakeholder management, and communication skills • Experience using AI or automation tools to improve productivity, delivery quality, or operational efficiency • Knowledge of pathology disciplines including Blood Sciences, Blood Transfusion, Microbiology, or Cellular Pathology • Experience delivering Clinisys or other diagnostic informatics solutions • Experience supporting large-scale healthcare transformation programmes • Working knowledge of Artificial Intelligence (AI) technologies and ability to leverage them to improve processes and outcomes • Core understanding of AI concepts and ability to demonstrate use of AI tools in a professional setting

🏖️ Avantages

• Fully remote work arrangement • AI-enabled tools and digital/analytical development as part of the working environment

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