Health Data Governance Advisor (Expert) - Sciensano
Description
The Health Data Governance Advisor supports HDA in its work on health data, data governance and the continued implementation of the European Health Data Space in Belgium. The advisor analyzes and structures complex data questions and turns them into concrete policy, functional and process solutions. The role operates in the healthcare sector with a strong focus on the secondary use of health data. It combines analytical insight with practical data-governance expertise.
The assignment covers core governance concepts such as data ownership, metadata, data quality, reference data, data catalogues, roles and responsibilities. Python and SQL are used to document, monitor and optimize data assets, while knowledge of data-governance platforms such as OpenMetadata is expected. The advisor also analyzes European and Belgian EHDS developments and translates regulation and policy information into functional and process implications. Functional analysis includes capturing business needs, defining requirements and understanding interactions among processes, data and systems.
The advisor works across business and technical stakeholders and supports interactions with healthcare institutions, governments, research institutions and other involved parties. The role requires analysis of changes affecting processes, metadata, data flows and systems, together with clear and consistent documentation. A pragmatic, structured and collaborative approach is expected, with attention to workable solutions and support for change. The advisor follows developments in EHDS, AI in health data and digital healthcare while safeguarding security, quality and ethical processing of health data.
Top Reasons to Apply
Shape Belgian EHDS
Advance health governance
Explore healthcare AI
Engage diverse stakeholders
Apply Python SQL
Detailed Responsibilities and Skills
Additional Responsibilities
- Monitor data assets
- Optimize data assets
- Analyze EHDS developments
- Analyze regulatory information
- Translate policy implications
- Analyze business needs
- Capture business needs
- Define functional requirements
- Align business stakeholders
- Align technical stakeholders
- Analyze integration changes
- Advise system impacts
- Describe business processes
- Document requirements methods
- Support stakeholder interactions
- Communicate stakeholder insights
- Simplify complex issues
- Develop workable solutions
- Facilitate stakeholder dialogue
- Build change support
- Monitor EHDS developments
- Monitor health AI
- Monitor digital healthcare
- Translate innovations practice
- Safeguard data security
- Safeguard data quality
- Ensure ethical processing
General skills
- Data governance concepts: knowledge of data ownership, metadata, data quality, reference data, data catalogues, and clear roles and responsibilities.
- Health data affinity: affinity with health data and understanding of European and Belgian EHDS developments and the secondary use of health data.
- Regulation and policy analysis: analyze relevant regulation and policy information and translate it into functional and process implications.
- Functional requirements analysis: analyze and structure data, information and questions into clear insights and usable results.
- Business needs capture: capture, analyze and translate business needs into clear functional requirements.
- Business and technical alignment: understand interactions among business processes, data and systems and support alignment between business and technical stakeholders.
- Data systems integration: understand how data is managed, exchanged and integrated in a broader application and data landscape.
- Change impact analysis: assess the impact of changes on processes, metadata, data flows and systems and provide advice.
- Process documentation: analyze and describe processes, requirements and working methods and contribute to clear, consistent and usable documentation.
- Stakeholder collaboration: work smoothly with colleagues and support interactions with healthcare institutions, governments, research institutions and other involved parties.
- Professional communication: communicate clearly and professionally with technical and non-technical stakeholders.
- Relevant academic background: possess an academic background relevant to the assignment.
- Data or governance experience: possess experience with data or governance questions.
- Analytical structured approach: reduce complex data questions to understandable insights and feasible steps.
- Pragmatic result orientation: seek workable solutions that account for regulation and end-user needs.
- Collaborative connecting approach: facilitate dialogue among diverse stakeholders and build support for change.
- Innovation monitoring: follow developments around EHDS, AI in health data and digital healthcare technologies and translate them into practice.
- Reliable ethical processing: safeguard the security, quality and ethical processing of health data.
- Healthcare sector knowledge: expert-level knowledge of the healthcare sector.
- Dutch: active knowledge required.
- English: passive knowledge required.
- French: active knowledge required.
Technical skills
- Python: confirmed level, used to document, monitor and optimize data assets.
- SQL: confirmed level, used to document, monitor and optimize data assets.
- Data systems and integration context: expert level.
- Functional analysis and requirements management: expert level.
Tools
- Data governance platform such as OpenMetadata: confirmed level.
Nice-to-have experience
- Analysis experience is an added value.
- Process support experience is an added value.
- Documentation experience is an added value.
- Data-driven project experience is an added value.