GIS Specialist – Utility Mapping, Data Quality & Data Acceptance Testing

Celerity Consulting Group, LLC•Walnut Creek, CA

3d•Remote

About The Position

This GIS Specialist position supports mapping, data validation, and quality assurance activities for electric utility asset systems. This role plays a key part in executing Data Acceptance Testing (DAT) workflows, including validation of conflated datasets derived from multiple systems of record (e.g., GIS, SAP, engineering records, and field data). The GIS Specialist will ensure that integrated asset data meets defined acceptance criteria, quality standards, and program requirements. The ideal candidate is detail-oriented, process-driven, and experienced working with conflated or integrated utility datasets, with a strong emphasis on data accuracy, traceability, and quality.

Requirements

Bachelor’s degree in GIS, Geography, Geospatial Science, or a related field
3–5 years of professional GIS experience
Experience supporting mapping, data maintenance, or asset data workflows
Proficiency with enterprise GIS platforms (Esri preferred) and spatial data editing
Strong attention to detail and commitment to data accuracy and quality
Ability to follow defined processes, workflows, and acceptance criteria
Experience with QA/QC methodologies and data validation processes
Strong analytical thinking and problem-solving skills
Ability to manage high-volume workloads in a production-driven environment
Strong organizational and communication skills

Nice To Haves

Experience working in structured QA/QC or data validation environments preferred

Responsibilities

GIS Mapping & Data Maintenance
Perform GIS editing and data remediation for electric utility assets
Update and maintain spatial and attribute data in accordance with defined standards and workflows
Support data cleanup initiatives to improve overall asset data quality and confidence
Ensure alignment between GIS, engineering records, and system-of-record data sources
Data Acceptance Testing (DAT) Execution
Execute Data Acceptance Testing (DAT) workflows across conflated GIS and asset datasets
Perform detailed review and validation of conflated data outputs, ensuring alignment between source systems (e.g., GIS, SAP, engineering records, and field-collected data)
Validate spatial and attribute accuracy of assets resulting from conflation processes (merging, alignment, and reconciliation of disparate datasets)
Apply standardized QA/QC protocols and acceptance criteria to determine data acceptance or rejection
Conduct structured sampling (e.g., statistically valid sampling approaches) to validate overall data quality
Identify, document, and categorize defects, discrepancies, and misalignments introduced through conflation or data integration processes
Support root cause analysis of data issues related to source system inconsistencies, transformation logic, or conflation workflows
Performance Tracking & Reporting
Track and log effort, cycle time, and complexity associated with each DAT task
Maintain detailed records of throughput (e.g., records/assets reviewed per day/week)
Contribute to development of unit-based performance benchmarks and productivity models
Provide input into reporting on data quality trends, defect rates, and process efficiency
Data Validation & Ingestion Support
Validate field-collected, legacy, and third-party data prior to system integration
Support ingestion workflows into GIS and related systems of record
Identify data gaps and coordinate resolution with cross-functional teams
Ensure data consistency across multiple platforms (e.g., GIS, SAP, document repositories)
Quality Assurance & Continuous Improvement
Participate in QA/QC reviews to ensure compliance with program standards
Provide feedback on workflow inefficiencies, tooling limitations, and automation opportunities
Support continuous improvement of DAT processes and data validation methodologies
Contribute to documentation of workflows, standards, and best practices
Collaboration & Coordination
Work closely with program managers, quality teams, and engineering resources
Coordinate with field validation teams and data providers to resolve discrepancies
Support alignment across GIS, data, and program workstreams
Participate in structured program cadences (e.g., weekly status meetings, production tracking)