Helping enable healthier and safer communities | Clinisys acquired Orchard Software (https://tinyurl.com/clinisysnews)
Project Manager – German Speaker
Location
Germany
Posted
34 days ago
Salary
0
Seniority
Senior
Job Description
Project Manager – German Speaker
Clinisys
• Leverage AI-enabled project management and analytics tools to support planning, forecasting, and decision-making. • Use data-driven insights (predictive indicators, trend analysis) to anticipate project risks, delays, or resource constraints and proactively define mitigation actions. • Oversee projects involving AI-enabled or data-driven healthcare solutions, ensuring alignment with scope, regulatory constraints, and customer expectations. • Ensure that AI-related components (where applicable) are properly considered in project scope, risk management, and quality assurance activities. • Facilitate alignment between services, product, technical, and data teams when projects involve advanced analytics or AI-assisted functionalities. • Support stakeholders’ understanding of AI-enabled project outcomes, including benefits, limitations, dependencies, and operational impacts. • Identify opportunities to improve project execution through automation, intelligent reporting, or AI-assisted monitoring of project performance.
Job Requirements
- Bachelor’s degree in Project Management, Business Administration, or a related field.
- PMP or equivalent certification is preferred.
- Minimum of 3–5 years of experience in project management within the services sector.
- Knowledge of the Healthcare Sector.
- Strong project management skills, including planning, execution, and risk management.
- Excellent communication and interpersonal skills.
- Ability to manage multiple projects simultaneously.
- Proficiency in project management software (e.g., Microsoft Project, Asana, Trello).
- Strong problem-solving skills and attention to detail.
- Ability to work effectively in a fast-paced and dynamic environment.
- Solid understanding of AI and data-driven concepts and how they are applied in healthcare, laboratory informatics, and service delivery.
- Ability to use AI-assisted project management tools (e.g. predictive scheduling, risk scoring, automated reporting) to improve planning accuracy and execution.
- Awareness of data quality, data governance, and compliance requirements when managing projects involving AI or advanced analytics.
- Capability to assess and manage AI-related project risks, including dependency on data availability, model limitations, explainability, and regulatory constraints.
- Familiarity with AI-supported decision-making, performance dashboards, and intelligent reporting tools.
- Understanding of ethical and regulatory considerations related to AI in healthcare environments (e.g. transparency, traceability, patient data protection).
- Ability to translate complex AI-related topics into clear, business-oriented communication for customers and non-technical stakeholders.
Benefits
- N/A
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