Project Manager

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.

Key Responsibilities

- Leverage AI-enabled project management and analytics tools to support planning, forecasting, and decision-making.
- Use predictive analytics, trend analysis, and scenario modelling to anticipate risks, delays, and resource constraints.
- Oversee projects involving AI-enabled, data-driven, or digital healthcare solutions, ensuring alignment with scope, regulatory requirements, and customer expectations.
- Ensure that AI-related components (models, data pipelines, integrations) are properly reflected in project scope, timelines, and quality assurance.
- Assess AI model dependencies (data availability, model performance, retraining cycles, explainability constraints) and incorporate them into project planning.
- Facilitate alignment between services, product, technical, and data/AI teams in projects involving advanced analytics or AI functionalities.
- Support stakeholders in understanding AI-driven outcomes, including benefits, limitations, and operational impact.
- Drive adoption of automation, intelligent reporting, and AI-assisted monitoring tools to improve project execution.
- Monitor project performance using data dashboards, KPIs, and AI-driven performance insights Identify opportunities to introduce AI-enabled automation (e.g., workflow optimisation, resource allocation, reporting efficiencies).
- Ensure compliance with data governance, privacy (e.g. GDPR), and AI-related regulatory requirements in healthcare contexts.
- Contribute to continuous improvement initiatives by embedding data analytics and AI-driven insights into delivery practices. Knowledge, Skills & Abilities
- Languages: English (mandatory), Fluent in German
-

Education:
Bachelor’s degree in Project Management, Business Administration, or related field PMP or equivalent certification
- Preferred

Experience:
3-5 years of experience in project management within services or healthcare environments.
- Experience with digital, data-driven, or software implementation projects.
- Exposure to AI-enabled or analytics-driven projects is a strong asset.
- Project Management Skills.
- Strong project management capabilities (planning, execution, risk management).
- Ability to manage complex, cross-functional and data-driven projects.
- Proficiency with project management tools (e.g., Microsoft Project, Asana, Trello) Strong analytical thinking and structured problem-solving skills.
- Ability to manage multiple priorities in a fast-paced environment. AI, Data & Digital Skills
- Solid understanding of AI/ML concepts, including supervised/unsupervised learning, predictive modelling, and intelligent automation.
- Experience with or exposure to AI-assisted project management tools (e.g. predictive scheduling, automated risk scoring, intelligent reporting).
- Understanding of data lifecycles, including data collection, transformation, quality management, and governance.
- Ability to interpret outputs from AI models, dashboards, and analytics tools and translate them into actionable insights.
- Familiarity with data visualization tools (e.g., Power BI, Tableau or similar).
- Basic understanding of how AI models are deployed and integrated into enterprise systems (APIs, cloud platforms, workflows).
- Awareness of model performance considerations, including bias, accuracy, explainability, and monitoring.
- Ability to identify opportunities for process automation using AI or workflow orchestration tools
- Experience working with structured datasets, KPIs, and performance metrics to track project and operational outcomes.
- Understanding of AI governance frameworks, including transparency, auditability, and risk management.
- Strong awareness of ethical and regulatory requirements (e.g., GDPR, healthcare data compliance) in AI-driven environments.
- Ability to engage with technical teams (data scientists, engineers) and translate business/project needs into technical requirements.
- Capability to explain AI-related concepts clearly to non-technical stakeholders and customers. Key Competencies
- Leadership and team management.
- Strategic thinking and data-driven decision-making.
- Strong stakeholder management and communication.
- Time management and organizational skills.
- Negotiation and conflict resolution.
- Adaptability in AI-enabled and evolving digital environments.
- Continuous learning mindset with openness to emerging AI technologies. Location: Ghent, Belgium Salary: €52,408
- €65,502
- €78,602 (per annum, depending on experience, skills, and qualifications) Location: Netherlands Salary: €68,338
- €85,423
- €102,508 (per annum, depending on experience, skills, and qualifications) Onboarding As part of our onboarding process, all new employees will be requir