GIS QA/QC Lead: Asset Data & Migration Excellence

accel bi corporation; Wisconsin; Sur place; USD 90 000 - 120 000; Plein temps

Résumé du poste

accel bi corporation seeks a GIS QA/QC Lead to oversee QA/QC for an ArcGIS-based asset management implementation. You will develop and run QA/QC activities across GIS data, asset tables, migrations, dashboards, and workflows.

The role requires validating migrated and field-collected datasets, reviewing spatial locations and relationships, and coordinating defect resolution with GIS developers and data specialists. Strong analytical and documentation skills are essential.

Qualifications

• Experience performing QA/QC for GIS or spatial-data implementations.
• Strong knowledge of GIS data-quality and validation practices.
• Experience validating migrated and field-collected datasets.
• Familiarity with ArcGIS/geodatabase environments.
• Experience with transportation, roadway, infrastructure or asset-management data preferred.
• Strong analytical and documentation skills.

Responsabilités

• Develop and execute QA/QC activities for GIS data, asset tables, migrations, dashboards and workflows.
• Validate completeness and consistency of migrated and field-collected information.
• Review spatial locations, asset attributes and database relationships.
• Perform data reconciliation and identify quality issues.
• Validate imported information against approved target requirements.
• Support testing of dashboards and system workflows.
• Maintain QA/QC findings and validation documentation.
• Coordinate defect resolution with GIS developers, architects and data specialists.
• Support final solution and data-quality reviews.

Connaissances

GIS QA/QC

Data validation

Analytical skills

Documentation

Outils

ArcGIS

Geodatabase

Description du poste

accel bi corporation seeks a GIS QA/QC Lead to oversee QA/QC for an ArcGIS-based asset management implementation. You will develop and run QA/QC activities across GIS data, asset tables, migrations, dashboards, and workflows.

The role requires validating migrated and field-collected datasets, reviewing spatial locations and relationships, and coordinating defect resolution with GIS developers and data specialists. Strong analytical and documentation skills are essential.