Executive, GIS

Responsibilities

Apply machine learning techniques to automate and improve geospatial data processing and analysis. Develop models for applications such as palm detection, crop health monitoring, and predictive analysis. Develop and deploy

mobile GIS apps

for field data collection and decision support. Publish and maintain

web maps, layers, and dashboards

for various stakeholders. Manage

data pipelines

from desktop to web / mobile, including basic QA / QC and updates. Provide

user support and training , especially for field deployments and offline use. Collaborate with Agronomy / Operations / R&D to gather requirements and improve tools. Document configurations, workflows, and basic SOPs for sustainability. BASIC EDUCATION AND TRAINING

Bachelor / Masterof Science in GIS, Remote Sensning, Geography, Agriculture or Land Survey. Minimum 3 years relevant experience (GIS / mobile / web GIS). Strong with ArcGIS platform (ArcGIS Pro & ArcGIS Online); Enterprise / Portal experience is an advantage. Experience building or configuring Mobile Apps (e.g., Field Maps / Survey123 or similar). Comfortable with data management (geodatabases, web layers, permissions, basic metadata). Problem-solver, independent and collaborative, clear communicator. Willing to travel frequently and work in plantation / field environments. KNOWLEDGE AND SKILLS

Good written and oral communication skills for creating and presenting GIS reports. Proficient in Esri product ie : Arcgis Pro, Webmaps and Arcgis Online, Global Mapper Strong proficiency in Python for geospatial scripting and automation (e.g., ArcPy, GeoPandas) Familiarity with applying machine learning frameworks (e.g., TensorFlow, PyTorch) to spatial data processing and analysis. SQL expertise for database querying, management, and integration with geospatial data (e.g., PostgreSQL / PostGIS, SQL Server).

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