Data Manager - Senior

What Impact You'll Have

GRVTY is seeking a motivated and experienced Data Manager to provide technical and managerial leadership over our overhead satellite imagery preprocessing operations. The ideal candidate is an experienced data operations leader with a passion for solving complex pipeline challenges, ensuring data integrity, and delivering mission-critical results in support of the DoW and Intelligence Community. This role serves as the primary communication interface between the customer and the team, translating requirements into successful execution across the full data operations lifecycle.

What You'll be Owning

• Oversee and manage data, databases, and pipelines across the full data acquisition, curation, and preprocessing lifecycle, ensuring compliance with specified requirements and priorities
• Conduct regular Quality Control (QC) of data holdings to:
• Manage the data operations pipeline to include:
• Apply engineering best practices to optimize data pipeline efficiency and performance across all sensor modalities including: EO, FMV, HMI, and SAR
• Lead and manage team members by providing:
• Ensure data dictionaries, Entity Relationship Diagrams (ERDs), software comments, and documentation are regularly maintained and updated
• Serve as the primary customer communication interface to relay tasks and requirements and ensure successful work execution

What You Must Have

• Active TS/SCI Clearance with the ability to obtain a CI/Poly

• 3+ years of people management experience, including:

• Team lead or project lead roles

• Independently initiating and driving projects to completion

• Strategic problem solver with excellent communication skills

• 4+ years of experience in quantitative analysis and data operations, to include:

• Developing visualizations and processing complex data to create data-driven insights

• Data manipulation and ETL procedures

• Working knowledge of SQL and NoSQL database technologies

• 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

What Would be Nice to Have

• Experience using Agile/SAFe methodologies
• Experience with NGA enterprise technology systems such as NGA CORE and MLOps
• GEOINT Professional Certification \u2013 Fundamentals (F)
• Experience working with AI/ML technologies applied to geospatial data