Note: The job is a remote job and is open to candidates in USA. SMX is a team of technical and domain experts dedicated to enabling mission success, particularly within national security initiatives for the DoD. They are seeking an experienced Data Strategist & Analytics Specialist to manage the full data lifecycle, ensuring data accuracy and efficiency across operations. The role involves developing data strategies, overseeing data validation, and optimizing data workflows to support organizational objectives.
Responsibilities
- Evaluate, vet, and validate data sources for accuracy, reliability, completeness, and relevance to mission requirements
- Conduct structured assessments of data providers to determine operational and analytical value, and provide go/no-go recommendations to leadership
- Maintain a registry of approved, conditional, and rejected data sources with supporting rationale
- Review and quality-assure Data Visualization Review (DVR) products created by subcontractors in response to supported unit Requests for Information (RFIs)
- Assess DVR deliverables against defined standards for accuracy, design fidelity, analytical integrity, and alignment with the originating RFI
- Provide written feedback, approval, or rejection of subcontractor products, and coordinate revisions as needed
- Develop, document, and maintain a comprehensive TMN Data Strategy that aligns data collection, management, and dissemination practices with organizational and mission objectives
- Identify capability gaps in current data infrastructure and recommend improvements
- Establish data governance frameworks including ownership, stewardship, quality standards, and lifecycle policies
- Analyze current data usage patterns and identify redundancies, inefficiencies, and underutilized assets across the organization
- Implement best practices to maximize the value extracted from existing data resources while reducing waste and duplication
- Collaborate with supported units and internal stakeholders to align data consumption with operational priorities
- Design, document, and optimize end-to-end data workflows, including ingestion, processing, storage, access, and dissemination pipelines
- Standardize workflow procedures to ensure repeatability, traceability, and quality control across all data operations
- Work with technical teams to automate or streamline manual data processes where feasible
- Conduct structured evaluations of current and prospective data providers to assess the value, reliability, and mission relevance of their offerings
- Develop and apply a repeatable provider assessment methodology, including criteria such as data freshness, coverage, accuracy, licensing, and cost-benefit analysis
- Produce provider validation reports and present findings and recommendations to decision-makers
Skills
- Bachelor's degree in Data Science, Information Systems, Operations Research, Computer Science, or a related field (Master's preferred)
- 5+ years of experience in data analysis, data management, or a related discipline, preferably in a defense, intelligence, or government contracting environment
- Demonstrated experience reviewing and evaluating data products or visualizations for technical accuracy and analytical quality
- Strong understanding of data governance, data quality frameworks, and lifecycle management principles
- Experience developing or contributing to organizational data strategies or roadmaps
- Proficiency with data visualization tools (e.g., Tableau, Power BI, ArcGIS, or similar platforms)
- Familiarity with structured data environments, relational databases, and common data formats (JSON, XML, CSV, shapefiles, etc.)
- Excellent written and verbal communication skills; ability to produce clear technical documentation and present findings to both technical and non-technical audiences
- Must have an active DoD Secret security clearance
- Experience working within or in direct support of military or DoD organizational structures, particularly in a TMN, C2, or ISR context
- Familiarity with RFI/DVR processes and subcontractor product review workflows
- Knowledge of geospatial data sources and GEOINT products
- Experience with data pipeline tools (e.g., Apache NiFi, Databricks, etc.)
- Relevant certifications such as Certified Data Management Professional (CDMP), CompTIA Data+, or equivalent
- DoD Top Secret and TS-SCI preferred
Benefits
- Health insurance
- Paid leave
- Retirement
Company Overview
SMX is a provider of information technology (IT), services, and advanced engineering with a focus on Cloud Solutions. It was founded in 1995, and is headquartered in Hollywood, Maryland, USA, with a workforce of 1001-5000 employees. Its website is https://www.smxtech.com.