The Global Remote Sensing Manager position at the Mines Advisory Group (MAG) represents a highly specialized opportunity at the intersection of geospatial science, humanitarian action, and advanced data analytics. This remote role is designed for experienced professionals in Earth Observation (EO), GIS, and drone technologies who are eager to apply their expertise to life-saving work in post-conflict environments. With a salary of approximately £35,904 per year, the position combines technical leadership with meaningful global impact.
Overview of the Role and Its Humanitarian Purpose
The Global Remote Sensing Manager works within MAG’s Programme Information Management Unit, focusing on improving operational efficiency and situational awareness across global mine action programmes. MAG is an international humanitarian organization that clears landmines and unexploded ordnance, enabling safe land use for communities affected by conflict.
In this role, the manager contributes directly to humanitarian outcomes by:
- Enhancing landmine detection and clearance planning using satellite imagery
- Improving risk mapping through geospatial analysis
- Supporting safer field operations through drone-based insights
- Strengthening data-driven decision-making across multiple countries
The role is critical in ensuring that affected communities regain access to safe land for housing, agriculture, and infrastructure development.
Core Responsibilities in Remote Sensing and GIS Innovation
The position places strong emphasis on the use of advanced remote sensing technologies and Geographic Information Systems (GIS). The manager is expected to lead the development of innovative methodologies that improve MAG’s operational capacity.
Key responsibilities include:
- Developing Earth Observation (EO) workflows for humanitarian mine action
- Leading research into satellite and drone data applications
- Designing GIS-based tools for operational decision-making
- Building predictive models using geospatial machine learning techniques
- Producing high-quality spatial analysis reports for field teams and partners
The role requires the integration of both open-source and commercial satellite datasets, including Sentinel, Landsat, Maxar, and Planet imagery.
Technical Expertise Required for Success
This role demands a strong technical background in remote sensing, geospatial analytics, and machine learning. Candidates are expected to be proficient in both theoretical knowledge and practical application of spatial data systems.
Essential technical skills include:
- Proficiency in GIS software such as ArcGIS, QGIS, ENVI, and ERDAS Imagine
- Experience with satellite imagery processing and classification techniques
- Knowledge of LiDAR, radar, multispectral, and optical sensor systems
- Machine learning applications in geospatial environments
- Drone data workflows, including:
- Flight planning and mission design
- Photogrammetry processing
- Orthomosaic and 3D model generation
In addition, familiarity with humanitarian standards in mine action and weapons management is considered a strong advantage.
Strategic Impact and Partnership Development
Beyond technical execution, the role also requires strategic thinking and collaboration. The Global Remote Sensing Manager contributes to MAG’s long-term innovation strategy by working closely with internal teams, external researchers, and technology partners.
The position involves:
- Establishing partnerships with academic and research institutions
- Supporting innovation in humanitarian geospatial intelligence
- Translating complex technical outputs into operational insights
- Advising field teams on the application of EO data in real-time scenarios
- Promoting environmentally responsible data practices
This strategic dimension ensures that remote sensing technologies are effectively embedded into humanitarian operations rather than used in isolation.
Candidate Profile and Professional Requirements
The ideal candidate for this position is an experienced geospatial professional with a strong record in remote sensing projects and applied analytics. The role typically requires 5–9 years of relevant experience in the field.
Preferred qualifications and attributes include:
- A degree in geography, geospatial science, environmental science, or a related discipline
- Proven leadership in remote sensing or GIS projects
- Strong project management and reporting skills
- Ability to communicate technical findings to non-technical audiences
- Willingness to travel internationally, including to challenging environments
- Experience working with humanitarian or development organizations (advantageous)
Candidates with drone certification and experience in operational fieldwork are especially well suited to the position.
Career Impact and Sector Significance
The Global Remote Sensing Manager role is not only a technical position but also a humanitarian leadership opportunity. By combining geospatial science with mine action operations, the role contributes directly to saving lives and restoring communities affected by conflict.
Key benefits of the role include:
- Contribution to global humanitarian demining efforts
- Exposure to cutting-edge geospatial and drone technologies
- Remote working flexibility with international field engagement
- Opportunity to influence global best practices in mine action
- Collaboration with a Nobel Peace Prize-recognized organization
This position reflects the growing importance of Earth Observation and AI-driven geospatial intelligence in humanitarian response and post-conflict recovery.
Conclusion
The Global Remote Sensing Manager role at MAG offers a unique blend of technical innovation and humanitarian purpose. It is designed for professionals who can bridge the gap between advanced geospatial technologies and real-world field operations. By leveraging satellite imagery, drones, and machine learning, the role supports safer environments and helps restore communities affected by landmines and unexploded ordnance.
As humanitarian challenges become increasingly complex, positions like this highlight the vital role of remote sensing in shaping safer and more resilient futures.
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