Climate-KIC

• Advise and guide the AI-ready data architecture and geospatial AI service definition for institutional clients, who will be doing the data-space-development in-house.
• Guide and execute needs and gap assessment among all the relevant stakeholders, providers and users on data needs.
• Design and define the overall system architecture and technology approach based on client requirements and constraints, including the harmonisation of heterogeneous data.
• Create detailed technical specifications for external partners that clearly define what to build and quality standards.
• Review partner deliverables to ensure they meet specifications and align with project goals.
• Identify technical risks early and make trade-off recommendations between scope, budget and timeline.
• Support the development of guidelines for data governance and the ethical use of AI services, and where appropriate conduct capacity development activities for the successful uptake of services.
• Support the delivery of existing projects by writing deliverables, executing tasks, participating in project meetings both online and in-person, including proposing and creating content and managing your own workload.
• Represent the team and the organisation in online and in-person meetings.
• Support the team’s business development through, e.g. proposal writing.
• Support the identification, definition and development of new services and products.

Geospatial Data Architect – Earth Observation, Climate Services