Expert Analytic Methodologist; OBI - OBIQUA Security Clearance

Position: Expert Analytic Methodologist (OBI) - OBIQUA with Security Clearance
Expert Analytic Methodologist (OBI) - OBIQUA Location Virginia, Reston Department BUSINESS DEVELOPMENT Employment Duration Full Time Celestar Corporation is seeking an Expert Analytic Methodologist (OBI) to support The Defense Intelligence Agency ( DIA) under the Object Based Intelligence and Quality Assurance (OBIQUA) task order. The primary place of performance will be at DIA Facilities across the National Capital Region (NCR), with additional approved hybrid locations available.

If interested and meet the qualifications, we encourage you to apply for this rewarding and impactful opportunity. ANTICIPATED AWARD:
December 2025/ January 2026 ANTICIPATED START:
February/March 2026 PERIOD OF PERFORMANCE:1 Base Year + 4 Option Years

LOCATION:

DIA Facilities across the National Capital Region (NCR), with additional approved hybrid locations available. CLEARANCE REQUIREMENT :
Active TS/SCI; current CI Polygraph preferred, with willingness to obtain a CI Polygraph upon start if not already held.

About Us:

Celestar, a proud Veteran-Owned company, offers highly competitive salaries and benefits. Our comprehensive benefits package includes company-paid employee and family dental insurance, employee health insurance, life insurance, and disability coverage. Additionally, we provide a 401(k)-retirement plan with company matching, paid holidays, and personal time off. Responsibilities:
This opportunity will support multiple DIA initiatives, including the Machine-Assisted Rapid-Repository System (MARS), Object Management Services (OMS), and Object-Based Intelligence (OBI).
• The Expert Analytic Methodologist, Object Based Intelligence (OBI), Supports the development of analytic strategies to resolve key intelligence questions of mission-driven requirements.
• Works with ambiguous information, deconstructs key questions, suggests methodologies, develops data schema to structured observations, and supports visualization of applicable data.
• Identifies and evaluates a wide range of existing methods, models, and algorithms to develop more accurate, complete, objective, and anticipatory analysis for intelligence production.
• Identifies, retrieves, manipulates, relates, and / or exploits structured data sets from all available sources.
• Uses scripts, visual analytic modeling tools, and Standard Operating Procedures (SOPs) for repeatable, widely applicable procedures.
• Combines empirical or quantitative methods with data analysis for intelligence production of complex and data-driven assessments.
• Evaluates the capabilities and limitations of analytic methodologies.
• Design, develop, and maintain domain-specific ontologies to enable semantic representation of data inputs, facilitating integration of data sources and interoperability with internal and external OMSs.
• Design, develop, and maintain knowledge graphs leveraging domain-specific ontologies to support advance data querying, data visualization, and integration of intelligence functions via OBI standards.
• Apply semantic web standards (e.g. RDF, OWL, SPARQL) to knowledge model entities, relationships, and vocabulary in accordance with industry and government data standards.
• Establish processes for ontology version control, change management, stakeholder and governance review to ensure accuracy, consistency, and compliance with IC and DoD policies and standards.
• Collaborate with team members to enhance semantic data retrieval and reasoning across knowledge graphs through development and optimization of data queries via multiple protocols (e.g. Graph

QL, SPARQL, SHACL, SQL).
• Collaborate with team members to validate and refine exploratory efforts to automate ontologies and associated components to ensure semantic accuracy, relevance, and interoperability with existing knowledge modeling and knowledge graph capabilities.
• Collaborate with team members to evaluate effectiveness of exploratory efforts to automate ontology and associated component generation leveraging qualitative and quantitative metrics.
• Supports capability development by contributing, editing, and storing ontologies and knowledge models in Government owned/controlled source…