Data Manager

Role Overview

The Data Manager is responsible for overseeing and managing databases and pipelines supporting NGA Maven's satellite data acquisition, curation, and preprocessing. They ensure compliance with all specified requirements and priorities, conduct regular quality control (QC) across the full data pipeline, apply engineering best practices to optimize pipeline efficiency and performance, lead and develop the data operations team, and ensure data dictionaries, Entity Relationship Diagrams (ERDs), and all software documentation are regularly maintained and current.

Core Responsibilities

• Oversee and manage databases and pipelines supporting NGA Maven's satellite data acquisition, curation, and preprocessing — ensuring compliance with all specified requirements and priorities
• Conduct regular QC across the full data pipeline; identify and remediate non-compliant datasets including metadata completeness, accuracy, and schema consistency issues
• Apply engineering best practices to optimize pipeline efficiency and performance across all sensor modalities (EO, FMV, HMI, SAR)
• Lead and develop other GEOSPI data operations team members; provide technical expertise and project management guidance for data creation and management initiatives
• Ensure data dictionaries, Entity Relationship Diagrams (ERDs), and all software documentation are regularly maintained and current
• Manage the end-to-end data operations pipeline: imagery acquisition and ingest, preprocessing and transformation, and bi-directional data movement between platforms
• Avoid identifying non-compliant datasets — metadata completeness gaps, schema drift, format inconsistencies — and drive corrective action before they impact downstream model development
• Prepare and deliver written and oral status reports on Maven data holdings compliance to government stakeholders

Required Qualifications

• Active TS/SCI clearance
• Minimum 10 experience points required (see experience point calculation below)
• 3+ years of people management experience (team lead, project lead) with a track record of independently driving technical projects to completion
• 4+ years of quantitative analysis experience: data manipulation, ETL procedures, and working knowledge of SQL and NoSQL database technologies; demonstrated experience managing databases and operational data pipelines
• Experience working with cloud architectures
• 2+ years of experience working with large, complex geospatial data files and formats

Preferred Qualifications

• Experience with Agile/SAFe methodologies
• Experience with NGA enterprise technology systems (NGA enterprise platforms)
• GEOINT Professional Certification – Fundamentals (GPC-F)
• Experience working with AI/ML technologies applied to geospatial data

Benefits

• Health Insurance (Geo Owl pays 80%+ of the premium)
• 401k matching
• Dental, Vision, and other supplemental insurance plans available
• Company-paid short-term and long-term disability and life insurance
• Peer-to-Peer spot bonuses
• 120 hours of PTO per year plus federal holidays
• Fully Paid Military Leave: *You make your full Geo Owl salary while you are on military duty*
• Exiting the Military? Apply to our Military Transition Program for key insights into making the transition to civilian life from people who have been there before!

About Us

Our mission is to empower EVERYONE with geospatial technologies. Geo Owl is a premier provider of geospatial intelligence services, delivering cutting-edge solutions to the Department of Defense, intelligence agencies, and enterprises around the globe. Our comprehensive products and services include advanced geospatial analysis, imagery intelligence, remote sensing analysis, data science, and space-based custom intelligence solutions. At Geo Owl, we are dedicated to leveraging the latest analytic principles and technology to support and enhance the missions of our clients.

Our Core Values

• Innovation
• Integrity
• Excellence

Equal Opportunities

Geo Owl is an equal opportunity employer and does not discriminate on the basis of race, color, religion, creed, sex, age, sexual orientation, national origin, disability, marital status, military status, genetic predisposition, or any other basis protected by law.