Data Operations Lead – Geospatial AI/ISR

Barone Consulting LLC; Springfield, Northern (VA, KY); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Barone Consulting LLC seeks an experienced Data Manager to lead data operations for an AI/ML ISR program focused on geospatial data and satellite imagery. You will oversee data acquisition, preprocessing, storage, and end-to-end workflows, coordinating with Government stakeholders to translate priorities into executable tasks.

The role requires 15+ years of experience, strong leadership and project management, and deep expertise in data engineering, ETL, cloud environments, and geospatial

Qualifications

• 15+ years of relevant professional experience.
• Bachelor’s degree in a relevant technical discipline or equivalent.
• TS/SCI with CI Polygraph preferred; active TS with SCI eligibility may be considered.
• Experience leading data operations for large geospatial datasets.

Responsibilities

• Lead NGA overhead satellite data acquisition, curation, preprocessing, storage, and delivery.
• Serve as primary Government-facing interface for the data ops team.
• Supervise contractor data operations personnel and provide technical direction.
• Manage end-to-end data pipeline across multiple sensor modalities.
• Ensure data quality, schema adherence, and metadata completeness.
• Collaborate with image scientists and AI/ML engineers for CV/AI readiness.

Skills

People leadership

Project management

Data engineering

Geospatial data

ETL pipelines

SQL/NoSQL databases

Cloud architectures

Communication

Education

Bachelor's degree in a technical field

Tools

NGA CORE

MLOps

Job description

Barone Consulting LLC seeks an experienced Data Manager to lead data operations for an AI/ML ISR program focused on geospatial data and satellite imagery. You will oversee data acquisition, preprocessing, storage, and end-to-end workflows, coordinating with Government stakeholders to translate priorities into executable tasks.

The role requires 15+ years of experience, strong leadership and project management, and deep expertise in data engineering, ETL, cloud environments, and geospatial