Solutions Manager (ICE)

Building an AI‑first organisation is central to Clinisys’ purpose and the impact we deliver. As a global provider of intelligent diagnostic informatics solutions, we build AI‑enabled, cloud‑based platforms to enhance diagnostic workflows across healthcare, life sciences, and public health. By applying intelligent technology thoughtfully and responsibly, we help laboratories and testing environments operate more effectively, generate meaningful insights at scale, and ultimately support healthier and safer communities. Operating across more than 30 countries, Clinisys expects all colleagues—regardless of role or function — to work confidently with AI‑enabled tools, apply digital and analytical thinking, and continuously adapt as technologies evolve, must drive an AI first sense of purpose and urgency.

Clinisys has built an unrivalled reputation for deploying complex diagnostic networks and academic centres – and is the only provider to repetitively deliver to all disciplines end-to-end – at scale. Fostering healthier communities. 

About the Role

We are seeking an experienced Solutions Manager - ICE to lead the design, implementation, and deployment of Clinisys solutions within healthcare and laboratory environments.

Acting as the technical delivery lead throughout the project lifecycle, you will work closely with clinicians, laboratory managers, technical teams, and senior stakeholders to ensure successful solution outcomes. You will be responsible for solution architecture, requirements definition, deployment oversight, technical governance, risk management, and customer delivery.

This is a highly visible customer-facing role requiring strong leadership, healthcare technology expertise, and the ability to coordinate multidisciplinary teams across complex transformation programmes.

Key Responsibilities

Solution Design & Delivery

• Lead customer requirements gathering, analysis, and solution definition activities.

• Own the 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 are delivered to agreed scope, quality standards, and timelines.

• Act as the primary technical escalation point throughout project delivery and User Acceptance Testing (UAT).

Customer & Stakeholder Engagement

• Build strong 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.

Technical Leadership & Governance

• 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 ensure successful customer outcomes.

• Drive standardisation, repeatability, and optimisation across delivery processes.

AI & Digital Enablement

• 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.

Essential 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.

Desirable

• 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.

This role requires a working knowledge of Artificial Intelligence (AI) technologies and the ability to leverage them to improve processes and outcomes. A core understanding of AI concepts is required and must be able to demonstrate the use of AI tools in a professional setting.

Onboarding
As part of our onboarding process, all new employees will be required to attend / travel to the office on their first day of employment. This requirement is essential for onboarding activities, including the identity verification, completion of necessary documentation, receiving your IT equipment, introductions to key team members, and orientation to Clinisys policies and procedures.

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