GEOINT Standards Data Modeler – Expert Job #375
Springfield, Virginia, United States
Applications have closed
Allen Integrated Solutions
GEOINT Standards Data Modeler – Expert
Clearance Required: TS/SCI
Minimum Years’ Experience: 18
Overall Assignment Description:
The Lead Data Modeler serves as the Subject Matter Expert and technical lead for the development, profiling, and application of GEOINT data content standards. Organize, lead, and monitor technical tasks and provide input to issue resolutions. Lead engagement with the customer to collect requirements, organize work priorities and manage project deliverables. Engage with multiple team members, organizations, and disciplines to explore complex concepts and processes and develop and coordinate candidate solutions. This position is considered a key position and is listed in the Statement of Work (SOW). The offer is contingent on approval from the Government.
General Responsibilities:
- Serve as a Subject Matter Expert (SME) on development of GEOINT standards with the objective of facilitating compliance and interoperability through integration of NSG & ASG requirements while reducing technical and schedule risk associated with Data, Metadata, and Ontology standards.
- Ensure current and future GEOINT standards satisfy capability requirements at the program and strategic level across Agency, U.S. national organizations (NSG), and international partners (ASG).
- Develop capability-based standards profiles and reference architectures to enable search, discovery, access, retrieval, integrated intelligence, and advanced analytics.
Daily Responsibilities include:
- Standards Development – develop new or updated standards documents.
- Standards Content Development – work with users to understand their requirements; develop solutions to Content Development Requests (and identify and develop solutions for internal modeling improvements; and monitor ISO, OGC, IC DES, etc standards that are implemented and integrated & make updates accordingly); implement solutions to result in updated content baselines of standards. Maintain the software required to generate content baselines (e.g., VBA, ShapeChange) and work with software specialists when necessary to identify updates or changes.
- Standards Content Profiles – work with users to understand their requirements and implementations; help develop profiles and implementation which may involve software maintenance or configuration.
- Process Improvements and Documentation – identify and implement process improvements (e.g., creating automated QA/QC checks) and new technologies (e.g., new NAS JSON-Schema technical artifact); maintain or develop documentation for both internal team and users (e.g., SOPs, User Guides)
- Coordinate on the Web Presence of the Standards; ensure successful deployments of content updates (communicate on any impacts such as schema changes); communicate any new requirements or requested improvements.
- Governance and Program Support – Configuration management and professional engagement with various participating organizations
- Community Support/Outreach – conduct outreach activities to promulgate standards use; answering user questions; supporting requests such as questions on standards conformance and methodology applications.
Skills and Experience:
Required:
- Have expert-level working experience (10 years or more) in data modeling, data analytics and/or data science field of work.
- Have a bachelor’s degree in technical or scientific fields such as Engineering, Physics, Mathematics, Operations Research, Engineering Management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
- Have at least five (5) years demonstrated experience with:
- Basic concepts of Unified Modeling Language (UML) Class Diagrams, object-based modeling concepts, and logical data models.
- Design, development, presentation, and analysis of a domain based logical data model.
- Developing, maintaining and/or enhancing Logical Theories and formal Ontologies to include Resource Description Framework (RDF) and Web Ontology Language (OWL).
- Decomposition of object-based logical models in order to understand data requirements.
- Have familiarity with the major varieties of JSON (JSON-LD, GeoJSON, JSON-B, etc.).
- Have familiarity with Simple Knowledge Organization System (SKOS).
Desired:
- Able to develop, describe & apply complex concepts & processes.
- Perform multiple tasks at specialist level in a leadership role.
- Lead and manage multiple Junior/Mid-level personnel to achieve project objectives.
- Evaluate & recommend new technology & processes based upon cost, risk, and mission.
- Able to develop & use complex concepts & processes that span multiple organizations and disciplines.
- Have expert-level working experience in data modeling, data analytics and/or data science field of work.
- Have at least five (5) years demonstrated experience with:
- Basic concepts of Unified Modeling Language (UML) Class Diagrams, object-based modeling concepts, and logical data models.
- Familiar with XML, XML schema, and SQL.
- Design, development, presentation, and analysis of a domain based logical data model.
- Decomposition of object-based logical models in order to understand data requirements.
- Develop, maintaining and/or enhancing Logical Theories and formal Ontologies to include: Resource Description Framework (RDF) and Web Ontology Language (OWL).
- Have familiarity with the major varieties of JSON (JSON-LD, GeoJSON, JSON-B, etc.).
- Have familiarity with Simple Knowledge Organization System (SKOS)
- UML (class diagrams): OCL A plus
- GML, XML or XSD
- JSON, JSON-Schema or similar (JSON-LD, GeoJSON)
- OWL, SKOS, and/or RDF
- Experienced using data and system modeling tools such as Sparx Enterprise Architect
- MySQL
- MS Access
- Microsoft Visual Basic (VBA) programming
- SQL
- Logical data modeling and/or data architecture experience; experience with ontologies, taxonomies, vocabularies, thesauri a plus
- Java experience is a plus but not required.
- Attention to detail & organized.
- Eager to learn new technologies and skills.
- Good verbal and written communication
- Familiar with software development, database and cloud computing in the development and application of models, databases, and ontologies.
Education/Certification:
Required:
- Bachelor’s degree in technical or scientific fields such as Engineering, Physics, Mathematics, Operations Research, Engineering Management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
Desired:
- Master’s degree plus 10 years of experience, Bachelor’s degree plus 12 years’ experience, Associate’s degree plus 14 years’ experience, or a minimum of 15 years’ experience, in relevant field. Specific position qualifications can be applied in lieu of years of experience.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Data Analytics Engineering Java JSON Mathematics MySQL Physics RDF Research SQL STEM XML XSD
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