GIS Developer

Primary Responsibilities:

Asset-Level Data Synthesis & Aggregation

Pole-Level Intelligence Development:

•                     Aggregate findings from multiple images per pole (typically 10+ images per asset) into comprehensive pole summaries

•                     Synthesize equipment detection results providing complete pole-mounted equipment inventory per asset

•                     Roll up individual image condition findings into asset-level condition assessments with severity scoring

•                     Combine AI model outputs with manual annotations for comprehensive pole condition profiles

Equipment Inventory Analysis:

•                     Process equipment detection and condition assessment model results across 27 equipment categories

•                     Create comprehensive pole equipment profiles with operational intelligence

•                     Track equipment attributes available in COCO annotation files (equipment type and count)

•                     Integrate AI model outputs, manual NextVision annotations, and GIS data for validation

Condition Assessment Rollup:

•                     Aggregate condition findings from individual images into pole-level summaries

•                     Implement severity mapping and priority scoring for strategic decision support

•                     Auto-flag missed detections requiring manual review before logging updates to Atlas

•                     Support validation workflows for quality assurance and model performance tracking

Historical Trend Analysis & Performance Metrics

Temporal Analytics:

•                     Track asset condition changes over time across multiple drone missions and inspection cycles

•                     Support predictive maintenance planning with historical trend analysis

•                     Enable cross-mission comparison for comprehensive operational insights

Model Performance Tracking:

•                     Calculate model accuracy and efficiency metrics at asset level for continuous improvement

•                     Support vendor model evaluation and in-house model validation

•                     Track detection rates, false positives, and missed equipment across pole summaries

NextVision Platform Integration

Phase 1 Implementation Support:

•                     Provide pole summary data as a plug-in to Digital Atlas supporting NextVision UI pole-level information display

•                     Provide services to enable equipment detection integration for object/equipment toggle functionality

•                     Deliver synthesized equipment detection results per pole for integration to NaVee NEE.GIS

Digital Atlas API Integration:

•                     Establish API connection to retrieve individual image metadata and findings, equipment detections, and condition assessments from Digital Atlas to FPLAir Datahub and NEE.GIS

•                     Process metadata and annotation data for comprehensive pole-level aggregation

•                     Support plugin architecture for enhanced NextVision filtering and visualization capabilities

Scope of Work: NJUNS Development (Sergio Aguilar Perales)

Enterprise GIS Integration & Data Visualization for Pole Inspection Program

Position Overview

The NJUNS Developer will focus on enterprise GIS integration, data publishing, and map visualization for the Pole Inspection Program. On-board FPLAir data to NaVee from NEE.GIS in support of the master pole data application and search efforts.

Primary Responsibilities

Enterprise GIS Publishing & Integration

NJUNS Database Views:

•                     • Design and publish database views optimized for ArcGIS Enterprise

•                     • Create standardized data structures for feature services

•                     • Develop spatial queries for real-time operational access

•                     • Establish automated refresh schedules

ArcGIS Enterprise Feature Services:

•                     • Publish NJUNS ticket data as feature services

•                     • Configure metadata, symbology, and permissions

•                     • Optimize performance for large-scale visualization

Enterprise GIS Layer Management:

•                     • Coordinate with NEE GIS team for standards compliance

•                     • Integrate NJUNS layers with Power Delivery GIS infrastructure

•                     • Enable spatial filtering and advanced queries

FME Automation:

•                     • Ensure all datahub pipelines get automated with FME for data collection and publishing to EGIS database

Comprehensive Map Visualization

Master Pole Data Mapping:

•                     • Create map views of all NJUNS ticket data with geospatial context

•                     • Develop interactive interfaces for inspection prioritization

•                     • Integrate pole attributes, equipment inventory, and condition assessments

•                     • Enable filtering by circuit, region, ticket type, and priority

Map Interface Development:

•                     • Build user-friendly interfaces for business stakeholders and field teams

•                     • Develop filtering and symbology standards

•                     • Support mobile-responsive views

NJUNS API Integration & Data Flows

API Connectivity:

•                     • Establish programmatic NJUNS database connectivity to push updates to NJUNS

•                     • Develop endpoints for ticket creation, updates, and tracking