Employment type
Permanent
Industry
Public Healthcare Sector
Area
IT
Location
German-speaking Switzerland
Remote from abroad?
No
Home office?
Flexible
01
Tasks and responsibilities
- Own and evolve the clinical data platform and related analytics products
- Define and communicate the product vision, roadmap, and priorities
- Manage and prioritise the product backlog based on business value and strategic goals
- Ensure delivery of high-quality analytics and reporting solutions
- Partner with clinical, operational, and administrative stakeholders to understand needs
- Translate business requirements into actionable product and data requirements
- Act as the primary interface between healthcare departments and technology teams
- Facilitate alignment between IT, data teams, and business functions
- Drive the development of dashboards, reports, and self-service analytics capabilities
- Identify opportunities to improve decision-making through data
- Support the use of data for operational, clinical, and management purposes
- Promote data-driven practices across the organisation
- Contribute to data governance frameworks and policies
- Support the definition of data ownership, access rights, and data standards
- Ensure appropriate data quality, consistency, and compliance requirements
- Participate in initiatives related to data security and information governance
- Lead backlog refinement, sprint planning, and prioritization activities
- Collaborate with data engineers, analysts, and developers to deliver value incrementally
- Monitor product performance and continuously improve services
- Define success metrics and track business outcomes
02
Must-have criteria
- Several years of experience in data, analytics, business intelligence, or data products
- Experience managing products, services, or initiatives in a complex organisation
- Experience working in cross-functional teams
- Proven stakeholder management and communication skills
- Good understanding of data warehousing concepts
- Strong SQL knowledge
- Understanding of data modeling principles
- Familiarity with modern analytics architectures and cloud-based data environments
- Experience with reporting and business intelligence solutions
- Experience working in agile environments
- Experience managing backlogs and priorities
- Ability to translate business requirements into technical solutions
- Strong problem-solving and decision-making skills
- Degree in computer science, data science, health informatics, business informatics, or a related field
- Equivalent professional experience may also be considered
03
Nice-to-have criteria
- Experience within healthcare, hospitals, life sciences, or medical research
- Understanding of clinical workflows and hospital operations
- Familiarity with healthcare data standards
- Experience with cloud data platforms
- Knowledge of data governance frameworks
- Experience with self-service BI platforms
- Exposure to machine learning or advanced analytics
- Experience with API integrations and data interfaces
- Previous experience as a Product Owner
- Scrum certification or agile certifications
- Experience leading multidisciplinary teams
- Experience driving organizational change
- Experience with Power BI, Tableau, Qlik, or similar tools
- Knowledge of Azure, AWS, or Google Cloud
- Familiarity with Jira, Confluence, or similar agile tools
- Experience with data catalog or metadata management solutions
04
Language requirements
- Fluent German (minimum C1 level) required
- Good English skills for collaboration with international partners and technical documentation
05
Application form