Solutions Manager (ICE)

Clinisys

10d • Remote

About The Position

Clinisys is seeking an experienced Solutions Manager - ICE to lead the design, implementation, and deployment of its solutions in healthcare and laboratory environments. Acting as the technical delivery lead throughout the project lifecycle, the role works with clinicians, laboratory managers, technical teams, and senior stakeholders to deliver successful outcomes. Responsibilities include solution architecture, requirements definition, deployment oversight, technical governance, risk management, and customer delivery. This is a highly visible, customer-facing role that requires leadership, healthcare technology expertise, and coordination of multidisciplinary teams across complex transformation programmes.

The role also applies AI and automation to improve solution design, documentation, testing, troubleshooting, and delivery efficiency. It identifies opportunities to improve laboratory workflows and customer outcomes through responsible AI use, while maintaining compliance with security, privacy, and healthcare regulatory requirements. New employees must travel to the office on their first day for onboarding activities, including identity verification, paperwork, IT equipment, introductions, and orientation.

Requirements

• 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.
• Working knowledge of 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.

Nice To Haves

• 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.

Responsibilities

• Lead customer requirements gathering, analysis, and solution definition.
• Own end-to-end functional and technical solution design.
• Produce and maintain project documentation, including HLDs, LLDs, training materials, and service handover documentation.
• Lead solution build, configuration, validation, testing, integrations, reporting, and deployment activities.
• Ensure solutions meet 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 service handover.
• Facilitate lessons learned and continuous improvement activities.
• Work with Project Managers to manage risks, issues, dependencies, and resource requirements.
• 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 to achieve successful customer outcomes.
• 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 AI use.
• Promote an AI-first mindset while maintaining compliance with security, privacy, and healthcare regulatory requirements.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed