GIS Manager

Verisk -
Hyderabad, Telangana

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Job details

Full-time

Qualifications

ArcGIS
TensorFlow
MATLAB
Power BI
Data mining
Management
PostGIS
PyTorch
Java
Master's degree
Databases
SQL
Bachelor's degree
Machine learning
PostgreSQL
Deep learning
Clustering
AI
Leadership
Communication skills
Python
HTML
Time management
GIS
Analytics

Full job 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.

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.

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

Technical Skills

Geospatial Tools & Software

Expert-level proficiency in ArcGIS Pro, ArcGIS Desktop, QGIS, and Google Earth Pro

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)

Machine Learning & AI

Experience applying Machine Learning / Deep Learning techniques to geospatial datasets (e.g., classification, object detection, spatial clustering)

Data Handling & Analysis

Strong experience working with raster, vector, and LiDAR datasets

Communication & Collaboration

Strong communication skills for technical reporting and cross-functional collaboration
Ability to work effectively in global and distributed team environments

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

Our People, Our Culture

For more than 50 years, Verisk has helped property and casualty insurers make smarter decisions about risk through AI-powered risk modeling, advanced analytics, and technology solutions spanning the entire policy lifecycle. We are a leading strategic data, analytics, and technology partner to the global insurance industry, guided by core values of learning, caring, and results while maintaining the highest ethical standards as stewards of the industry's most comprehensive datasets. Learn more about Verisk and what we are doing within the insurance industry.

For the eighth consecutive year, Verisk is proudly recognized as a Great Place to Work® for outstanding workplace culture in the US, the fourth consecutive year in the UK, Spain, and India, and the second consecutive year in Poland. In addition, we’ve been recognized by The Wall Street Journal as one of the Best-Managed Companies and by Forbes as a World’s Best Employer, testaments to the value we place on workplace culture.

Our Culture : Explore our inclusive, people-first culture that fosters innovation, collaboration, and belonging.

Awards & Recognition : See why Verisk is consistently recognized as a Great Place to Work™ around the world.

Our Businesses : Learn about the diverse industries we serve — from insurance and energy to financial services and beyond.

Life at Verisk : Discover what it’s like to work at Verisk through employee stories, team highlights, and culture moments.

Careers at Verisk : Join a global team of problem-solvers and innovators doing meaningful work that’s shaping the future of industries. Whether you're just starting out or looking to take your career to the next level, Verisk offers growth, purpose, and a people-first culture

Let’s build something meaningful together!

Verisk Analytics is an equal opportunity employer.

All members of the Verisk Analytics family of companies are equal opportunity employers. We consider all qualified applicants for employment without regard to race, religion, color, national origin, citizenship, sex, gender identity and/or expression, sexual orientation, veteran's status, age or disability. Verisk’s minimum hiring age is 18 except in countries with a higher age limit subject to applicable law.

https://www.verisk.com/company/careers/

Unsolicited resumes sent to Verisk, including unsolicited resumes sent to a Verisk business mailing address, fax machine, or email address, or directly to Verisk employees, will be considered Verisk property. Verisk will NOT pay a fee for any placement resulting from the receipt of an unsolicited resume.

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