Responsibilities
Be available on Government site in Washington, DC during normal hours of operation.
Analyze large and complex datasets to identify trends, gaps, anomalies, integrity issues, and structural risks affecting reporting, analytics, and operational processes.
Design data architecture approaches, integration strategies, and analytical frameworks that support current and emerging enterprise priorities across business lines.
Assess new and existing data sources to determine structure, quality, completeness, relationships, and suitability for operational and analytical use.
Define and refine conceptual, logical, and physical data models that support enterprise reporting, automation, and decision-support needs.
Work closely with ETL developers and analysts to validate business rules, identify data integrity issues before deployment, and provide corrective guidance on implementation approaches.
Support requirements analysis, backlog refinement, sprint planning, sprint demonstrations, and incremental delivery of technical capabilities in an agile environment.
Contribute to minimum viable product planning and incremental enhancement of data and analytical capabilities over multiple sprint cycles.
Develop and maintain documentation as part of normal delivery activities, including system and architecture documentation, data flow documentation, runbooks, data definitions, and operational procedures.
Provide technical recommendations regarding solution architecture, task sequencing, ROM estimates, risks, dependencies, alternatives, and opportunities for improved efficiency or reuse.
Promote standard approaches to delivery, clear work tracking, and repeatable practices that support process maturity and more predictable outcomes.
Support multiple business lines and enterprise priorities as required.
Mentor less senior team members and support the overall quality and maintainability of technical deliverables.
Other responsibilities as assigned.
Requirements
Master s degree in Computer Science, Information Systems, Data Science, Data Analytics, Mathematics, Statistics, Engineering, or other technical discipline. Additional relevant experience may be substituted for a degree consistent with contract requirements.
Minimum 5 years of relevant experience in data architecture, data analysis, data science, enterprise analytics, data warehousing, or related technical delivery roles. 10 additional years of experience in lieu of degree.
Demonstrated experience analyzing large datasets and identifying trends, gaps, anomalies, structural risks, and data integrity issues.
Experience designing or supporting conceptual, logical, and physical data models in enterprise environments.
Experience translating ambiguous business needs into structured data logic, technical requirements, and implementable architectural approaches.
Experience validating business rule implementation and providing corrective guidance to technical delivery teams.
Experience with SQL, relational data structures, data integration concepts, and enterprise reporting or analytics environments.
Experience supporting agile or iterative delivery efforts with backlog-driven work, sprint-based execution, and incremental releases.
Experience preparing and maintaining technical documentation supporting architecture, operations, continuity, and knowledge transfer.
Ability to operate effectively in an enterprise production environment with minimal ramp-up time.
Must be authorized to work for any employer in the U.S.
Must be able to obtain and maintain the required security clearance.
Preferred/Desired
Experience supporting federal government customers in enterprise data warehouse, reporting, analytics, or decision-support environments.
Experience supporting advanced analytics, enterprise reporting modernization, or data-driven process improvement efforts across multiple business lines.
Experience working closely with ETL, reporting, and application development teams in governed production environments.
Experience contributing to ROM development, effort estimation inputs, and documentation of risks, dependencies, and alternatives.
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