Description
We are seeking an experienced Manager – GIS / Remote Sensing with 7–10 years of experience to lead geospatial initiatives supporting catastrophe risk model development within the Catastrophe & Risk Solutions (CRS) team. The role requires strong expertise in GIS, Remote Sensing, LiDAR data processing, spatial databases (SQL/PostgreSQL/PostGIS), WebGIS, and Python-based geospatial automation, along with experience applying AI/ML techniques for geospatial analytics.
Responsibilities
- Lead the design, development, and integration of GIS, Remote Sensing, and LiDAR-based data workflows supporting country/continental scale catastrophe risk models, delivering high-resolution, location-level geospatial analysis and insights.
- Manage and mentor a team of GIS engineers and analysts, providing technical guidance, performance feedback, and career development support.
- Collaborate with cross-functional teams across Hyderabad and Boston (DTG & Exposure teams) to ensure alignment, effective communication, and timely delivery of project milestones.
- Represent the team in cross-functional discussions, project reviews, and planning meetings, contributing to technical strategy and innovation initiatives.
- Oversee project planning, task allocation, progress tracking, risk management, and delivery timelines to ensure successful execution of geospatial projects.
- Manage and maintain large-scale geospatial datasets, ensuring high standards of data quality, structure, governance, and usability.
- Design and manage spatial databases using SQL, PostgreSQL, and PostGIS to support efficient storage, querying, and analysis of geospatial data.
- Perform and oversee complex spatial data processing tasks including digitization, geo-referencing, projection transformations, and raster/vector data processing.
- Conduct and guide advanced remote sensing analysis, including satellite imagery interpretation, image classification, object-based analysis, and LiDAR data processing.
- Develop and support WebGIS applications and geospatial services for visualization, analysis, and dissemination of geospatial data.
- Oversee the sourcing, integration, and validation of elevation, land use, soil, infrastructure exposure, and other geospatial datasets from national and international data platforms.
- Develop automated geospatial workflows using Python and geospatial libraries to improve efficiency, scalability, and reproducibility.
- Apply Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning techniques for geospatial analytics such as building footprint extraction, land cover classification, and object detection.
- Interpret and validate analytical results, presenting insights through maps, dashboards, WebGIS platforms, and technical reports.
- Prepare and review technical documentation, SOPs, workflow documentation, and project deliverables.
Qualifications
Education
- M.Tech / M.Sc / B.Tech in Geo-Informatics, Geography, Remote Sensing & GIS, or a related field in Spatial Technologies
Experience
- 7–10 years of experience in GIS, Remote Sensing, or Geospatial Analytics
- 3–5 years of experience in people management or team leadership
- Proven experience managing complex geospatial projects and coordinating cross-functional teams
Technical Skills
Geospatial Tools & Software
- Expert-level proficiency in ArcGIS Pro, ArcGIS Desktop, QGIS, and Google Earth Pro
- Familiarity with ArcGIS extensions such as Spatial Analyst, 3D Analyst, Image Analyst, and Network Analyst
Programming & Automation
- Advanced proficiency in Python and geospatial libraries (ArcPy, GDAL, GeoPandas, Rasterio, Fiona, Shapely, PyProj etc.)
- Experience with SQL and spatial databases (PostgreSQL/PostGIS)
- Proven ability to develop and maintain automated geospatial workflows
Machine Learning & AI
- Experience applying Machine Learning / Deep Learning techniques to geospatial datasets (e.g., classification, object detection, spatial clustering)
- Familiarity with scikit-learn, TensorFlow, or PyTorch
Data Handling & Analysis
- Strong experience working with raster, vector, and LiDAR datasets
- Ability to derive insights from large and complex geospatial datasets, with a focus on scalable processing, performance optimization, and continuous enhancement of spatial analysis and modelling workflows.
Communication & Collaboration
- Strong communication skills for technical reporting and cross-functional collaboration
- Ability to work effectively in global and distributed team environments
- Strong organizational and time management skills to manage multiple priorities and deliverables
Preferred / Desirable Skills
- Experience with WebGIS platforms, ArcGIS Enterprise, or other web mapping technologies
- Familiarity with HTML, Java, MATLAB, Power BI, or ProjectPlace
- Understanding of geostatistical techniques, spatial modelling, and data mining
Exposure to catastrophe modelling, insurance analytics, or risk analytics domains
hackajob is partnering with Verisk Analytics to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
