Exploitation Specialist / Data Manager

• This role in contingent upon award*

Avalore, LLC is seeking an Exploitation Specialist / Data Manager, Senior to support Department of War (DoW) customers in Springfield, VA.

The Exploitation Specialist / Data Manager, Senior will provide technical and managerial leadership to maintain overhead satellite imagery preprocessing operations. The Data Manager shall provide technical recommendations and monitor and support the implementation for the data operations pipeline to include integration among the data acquisition, data preprocessing, and data management platform.

The Data Manager serves as the Government's main communication interface to the larger team to relay tasks and requirements and ensure successful work execution. Additional activities include:

• Oversee and manage the data, databases, and pipelines related to NGA Maven's overhead satellite data acquisition, curation, and preprocessing, ensuring that they are compliant with specified requirements and priorities
• Conduct regular Quality Control (QC), managing, and monitoring of data to ensure it aligns to existing data standards and specifications
• Identify non-compliant datasets in relation to adherence to data schemas and standards, to include metadata completeness, accuracy, and consistency
• Assess and report data holdings compliance status through written documentation and oral presentations
• Apply engineering best practices to optimize data pipeline efficiency and performance across all sensor modalities (e.g., EO, FMV, HMI, SAR)
• Lead and manage other contractor data operations members by providing technical expertise and project management guidance for data creation and management initiatives
• Ensure data dictionaries, Entity Relationship Diagrams (ERD), and software comments and documentation are regularly maintained and updated
• Manage the data operations pipeline to include imagery acquisition and ingest, imagery preprocessing and transformations, and bi-directional data movement between platforms to enable successful data transfer, storage, and manipulation according to requirements

Requirements

• TS/SCI with CI Poly Eligibility
• 3+ years of people management experience ( e.g., team lead, project lead) and excellent communication and keen problem-solving skills. Extensive technical project management experience, independently initiating and driving projects to completion, and experience solving strategic problems
• 4+ years of experience doing quantitative analysis, developing visualizations, and processing complex data to create data-driven insights. This should include experience with data manipulation, extract, transform, load (ETL) procedures, and a working knowledge of database technologies (SQL, NoSQL). Demonstrated experience managing databases and data pipelines. Experience working with cloud architectures.
• 2+ years of experience working with large, complex geospatial data files and formats.
• Desired: Experience using Agile/SAFe methodologies
• Experience with NGA enterprise technology systems, such as NGA CORE and MLOps
• GEOINT Professional Certification - Fundamentals (F)
• Experience working with AI/ML technologies applied to geospatial data
• Work Environment: Moderate noise (i.e. business office with computers, phone and printers) and /or occasional Loud noise (airfield, large equipment).
• Ability to sit at a computer terminal for an extended period of time.
• Physical Demands: While performing the responsibilities of the job, the employee is required to sit, stand, talk, and hear.
• Employee is often required to sit and use their hands and fingers to operate a computer.
• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
• Travel: Up to 10%/ Occasional travel.
• Avalore will provide reasonable accommodations to applicants who are unable to utilize our online application system due to a disability. Please send your request to hr@avalore.ai.
• Avalore is an Equal Opportunity Employer - We not discriminate based on age, race, national or ethnic origin, gender, veterans status, disability, sexual orientation, gender identity or any other legally protected class. Applicants have rights under Federal Employment Laws.