Solutions Manager (ICE)

About the Role

Solution Design & Delivery

Customer & Stakeholder Engagement

Technical Leadership & Governance

AI & Digital Enablement

Essential Requirements

Desirable

Qualifications

• 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.

Responsibilities

• 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).
• 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.
• 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.
• 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.
• 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.
• 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.
• #LI-AD #LI-REMOTE