Senior Exploitation Specialist​/Data Steward

Senior Exploitation Specialist / Data Steward

At B&A, we foster and embrace a distinct set of values that we live by and instill in all aspects of our organization: dedication, commitment, partnership, trust, and recognition. We have incorporated these values into successful delivery for our customers since 1988. B&A believes in ensuring its employees feel deeply connected to B&A, recognizing successes and hard work, and providing continuous opportunities to learn and grow.

Our people are entrepreneurial thinkers that combine mindset, vision, and experience to drive value – not only to us as an organization, but to the clients we support. We promote a collaborative culture with our clients, and with each other, as one team working towards a common vision. We'd love for you to join our team!

B&A is looking for a Senior Exploitation Specialist / Data Steward to join a contract with a federal government client in support of an important mission. We are seeking a Senior Exploitation Specialist (Data Steward) to support NGA mission operations at an Analysis Office, NGA Washington (NCE) in Springfield, VA. As an Exploitation Specialist under the GEO-SPI B labor framework, the successful candidate structures, organizes, and maintains geospatial data holdings so that mission and analytic teams can reliably discover, access, and exploit trusted spatial information.

This is a Senior-level (Level
4) position. The individual is expected to lead, integrate, define tasks, and validate work, demonstrating advanced knowledge and skills that have been proven in previous work. A Senior is fully capable of meeting all required services without direction, provides technical direction and quality control over lower-level personnel, advises Government leadership on data management processes and technology, and leads collaboration across NGA and Intelligence Community (IC) teams.

Responsibilities:

• Manage, organize, and maintain spatial data across enterprise geodatabases and Spatial Database Engines (SDEs).
• Apply GIS, data schemas, and geo-referencing best practices to structure and steward geospatial information.
• Develop and apply extraction and metadata specifications to ensure discoverable, well-documented data.
• Design and optimize Relational Database Management System (RDBMS) architectures, applying data normalization best practices and performance tuning.
• Use the ArcGIS Suite, ArcGIS Online, Portal, Excel, Access, and SQL for the storage, organization, and maintenance of spatial data.
• Apply ontology concepts to information systems, data modeling, and data relationships.
• Collaborate across technical and mission-focused teams and provide senior-level direction, quality control, and quality assurance.

Education and Experience:

• Experience: 10+ years of relevant experience (a combination of years of experience, professional certifications, and education may be used in lieu of years of experience).
• Education: Bachelor's degree in a related field.

Required Skills:

• Demonstrated understanding of GIS, data schemas, and the geo-referencing of information.
• Knowledge of extraction and metadata specifications.
• Knowledge of Relational Database Management System (RDBMS) architectures, best practices for data normalization, and performance tuning/optimization techniques.
• Knowledge of enterprise geodatabases, such as Spatial Database Engines (SDEs).
• Knowledge of tools such as the ArcGIS Suite, ArcGIS Online, Portal, Excel, Access, and SQL for the storage, organization, and maintenance of spatial data.
• Familiarity with ontology concepts as they relate to information systems, data modeling, and data relationships.
• Strong collaboration skills with the ability to work effectively as a team player across technical and mission-focused teams.
• Knowledge of scripting languages, such as R or Python

Desired

Skills:

• Data management, data conditioning, and information modeling / design.
• Structured observation schema development and data hosting.
• Geomatics and geospatial data management.
• Coding / computer programming and data service enabling.
• Quality assurance and integration across enterprise systems.
• Written communication and technical documentation.

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