Geospatial Intelligence & Data Quality Manager GIS and spatial analytics | Digital evidence | Data assurance LOCATION NCR or any A-Tier city ENGAGEMENT Short-term | 3-4 months OPENINGS 01 We are seeking a specialist who can convert thousands of field submissions, service traces and facility records into a reliable, mapped evidence base. The role calls for strong data modelling, spatial validation and the discipline to trace every headline indicator back to a verifiable observation. Your mandate Own the spatial data framework and independent data-quality rules that connect mobile records, service areas, facilities, routes, scorecards and dashboards. What you will lead
• Establish authoritative spatial boundaries. Organise current area boundaries, locality identifiers, facility points, street networks and relevant base layers. Use validated external reference maps where available, document missing layers and maintain consistent identifiers across project databases.
• Build digital sampling geography. Translate survey design into assigned geographic cells and visit points, with transparent coverage rules. Support the field manager in preventing duplicate visits, gaps between localities and records captured outside the permitted area.
• Specify rigorous evidence data standards. Create required field definitions, unique keys, coordinate formats, time and photograph associations, allowed value sets, change logs and version conventions for households, businesses, stations, generators, vehicles and facilities.
• Run spatial and record-level quality checks. Detect absent coordinates, photo mismatches, implausible trajectories, repeated images, time anomalies and records outside authorised boundaries.



Maintain an auditable correction process and an exception list for re-verification by independent field teams.
• Map infrastructure and service deficits. Generate mapped views of transfer locations, waste-treatment assets, service gaps, vulnerable accumulation points, collection catchments and generator locations; ensure that spatial analysis can be reconciled with the technical and financial baseline.
• Support fleet-network evaluation. Supply street-network and service-boundary layers for primary and secondary collection, GPS-track cleaning, route-overlap analysis, fleet catchments and new route files. Reconcile route IDs and operating-unit codes with the field teams. ROLE DETAILS / CONTINUED Geospatial Intelligence & Data Quality Manager Delivery, quality and collaboration
• Coordinate specialist aerial evidence. Work with an authorised aerial survey provider on two permitted measurement rounds, using photogrammetric outputs or an approved alternative. Document spatial reference systems, comparable surfaces, calculation assumptions and confidence limits for legacy-waste volume analysis.
• Produce verifiable local scorecards. Create area-level indicators and map attachments that can be traced from the summary metric to an underlying record, date, image and quality decision. Help build usable consolidated service performance views.
• Prepare open and reusable handover data.



Structure validated exports in open formats such as CSV, GeoJSON and shapefiles, alongside map layers, metadata and data dictionaries. Keep raw submissions separate from verified master copies and derived views.
• Power the monitoring and reporting layers. Supply spatial data to the public-service portal, mobile application, dashboard and management indicator model. Agree refresh schedules, geographic aggregation logic, user filters and mapping quality controls with technology colleagues.
• Safeguard integrity and reproducibility. Maintain access rights, backups, lineage documentation and version history; support source-to-report reconciliation when findings are challenged or field records are corrected. What you will help deliver
• Spatial data model, survey-frame layers and automated validation rules.
• Quality-controlled GIS database linking locations, dates, photos and operational evidence.
• Service maps, facility catchments, area scorecard geography and route-ready map files.
• Open-format dataset, metadata, change history and documented handover package. Who should apply
• B.
E./B.
Tech in Civil Engineering or a related discipline, or a master's qualification in GIS, Geoinformatics, Remote Sensing, Geography or an allied field.
• Minimum 8 years of experience in GIS, spatial data systems and location-enabled field records.
• Prior delivery of at least one municipal geospatial dataset backed by photograph-verified observations.
• Hands-on command of GIS tooling, geofencing, geospatial file standards, field-data quality and stakeholder reporting.
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How to apply
mail to [email protected]

📌 Geospatial Intelligence (India)
🏢 Human Matrix
📍 India