Kentro ยท 2 days ago
Remote AI Data Integration Specialist
United States
Full-time
Remote
Mid, Senior Level
5+ years expKentro is a company dedicated to innovation and collaboration, seeking an experienced AI Data Integration Specialist to support their VA-ESOM contract across the United States. The role involves designing, implementing, and optimizing data pipelines for AI/ML capabilities, ensuring data quality and compliance while transforming operational data into AI-ready assets.
Information Technology & Services
Responsibilities
Conduct comprehensive assessments of existing data sources to determine fitness for AI/ML applications
Perform gap analysis identifying data quality issues, completeness problems, and integration challenges
Evaluate data source reliability, consistency, and availability for operational AI use cases
Document data lineage, dependencies, and transformation logic for governance and auditability
Assess technical debt and recommend remediation strategies for data infrastructure improvements
Implement metadata tagging standards ensuring discoverability and traceability across data assets
Apply data classification schemes aligned with federal security requirements and VA policies
Establish and enforce minimal data standards for AI/ML readiness across operational systems
Collaborate with Chief AI Office (CAIO) and data governance teams on compliance requirements
Design data cataloging approaches that support self-service discovery for analytics and AI teams
Support ML model development by preparing training datasets with appropriate feature engineering
Build and maintain data infrastructure supporting ML experimentation, training, and deployment
Implement data versioning and lineage tracking for ML reproducibility and auditability
Calculate and communicate ROI for data integration initiatives, demonstrating value through operational metrics
Identify opportunities where improved data integration can accelerate AI adoption or enhance model performance
Partner with SREs, Data Scientists, and Analytics teams to understand data requirements and constraints
Translate technical data challenges into understandable terms for government stakeholders
Provide technical guidance on data feasibility for proposed AI initiatives
Document data integration patterns, best practices, and lessons learned for knowledge sharing
Support executive briefings by providing data-driven insights on AI readiness and capability gaps
Qualification
Required
Deep expertise in data engineering, ML pipelines, and integration architecture
Experience in designing, implementing, and optimizing data pipelines for AI/ML capabilities
Ability to conduct comprehensive assessments of existing data sources for AI/ML applications
Experience performing gap analysis identifying data quality issues, completeness problems, and integration challenges
Knowledge of data source reliability, consistency, and availability for operational AI use cases
Experience documenting data lineage, dependencies, and transformation logic for governance and auditability
Ability to assess technical debt and recommend remediation strategies for data infrastructure improvements
Experience implementing metadata tagging standards ensuring discoverability and traceability across data assets
Knowledge of data classification schemes aligned with federal security requirements and VA policies
Ability to establish and enforce minimal data standards for AI/ML readiness across operational systems
Experience collaborating with Chief AI Office (CAIO) and data governance teams on compliance requirements
Ability to design data cataloging approaches that support self-service discovery for analytics and AI teams
Experience supporting ML model development by preparing training datasets with appropriate feature engineering
Ability to build and maintain data infrastructure supporting ML experimentation, training, and deployment
Experience implementing data versioning and lineage tracking for ML reproducibility and auditability
Ability to calculate and communicate ROI for data integration initiatives, demonstrating value through operational metrics
Experience identifying opportunities where improved data integration can accelerate AI adoption or enhance model performance
Ability to partner with SREs, Data Scientists, and Analytics teams to understand data requirements and constraints
Ability to translate technical data challenges into understandable terms for government stakeholders
Experience providing technical guidance on data feasibility for proposed AI initiatives
Ability to document data integration patterns, best practices, and lessons learned for knowledge sharing
Experience supporting executive briefings by providing data-driven insights on AI readiness and capability gaps
Company
Kentro
IT Concepts has transformed into Kentro - your center for innovation, excellence, and growth.
501-1000 employees
Funding
Current Stage
Late StageCompany data provided by crunchbase