Kentro ยท 1 day ago
Remote AI Data Integration Specialist
United States
Full-time
Remote
Senior Level, Lead/Staff
10+ years expKentro is a company committed to innovation and collaboration, seeking an experienced AI Data Integration Specialist. The role involves designing, implementing, and optimizing data pipelines for AI/ML capabilities within federal IT operations, ensuring data quality and compliance.
Information Technology & Services
No H1B
U.S. Citizen Only
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
Master's degree or higher in Computer Science, Data Engineering, Information Systems, Computer Engineering, or related technical field. 10 years of relevant experience may be substituted for the degree requirement
10+ years professional experience in data engineering, data integration, or ML operations roles
Hands-on experience designing and implementing data pipelines for analytics or AI/ML applications
Demonstrated experience working with enterprise data integration challenges in complex technical environments
Federal government experience, particularly within VA or Department of Defense
Strong ML/AI experience with understanding of data requirements for model training, validation, and inference
Proficiency in data ingestion and preparation techniques including ETL/ELT pipeline development
Experience with data pipeline orchestration tools and frameworks (Azure, Data Factory, or similar)
Understanding of metadata tagging standards and data cataloging approaches
Knowledge of data classification schemes and minimal data standards for AI/ML readiness
Expertise in data source evaluation methodologies including quality assessment and gap analysis
Strong understanding of data flows, system integrations, and API-based data exchange patterns
Experience with cloud data platforms (Azure preferred) and hybrid cloud/on-premise integration patterns
Familiarity with ITSM platforms (ServiceNow preferred) and operational data structures
Proficiency in SQL and at least one programming language (Python preferred) for data transformation
Expert-level gap analysis capabilities with ability to identify root causes and recommend solutions
Strong analytical mindset for assessing data quality, completeness, and fitness for purpose
Critical thinking to evaluate trade-offs between data quality, cost, and timeline constraints
Systems thinking to understand data dependencies and downstream impacts of integration decisions
Ability to calculate and articulate ROI for data initiatives using operational metrics and business value
Ability to explain technical data concepts to non-technical stakeholders
Strong documentation skills for technical specifications, data flows, and integration patterns
Collaborative approach to working with cross-functional teams (SRE, Data Science, Analytics)
Experience supporting executive communications with data-driven insights
Curious: Continuously explores data landscapes to understand what exists, what's missing, and what's possible
High Contextual Understanding: Grasps the operational meaning and business significance behind data, not just technical structure
Confident with Gap Analysis: Comfortable identifying problems, articulating impacts, and proposing solutions
Detail-Oriented: Maintains precision in data quality assessment and integration design
Pragmatic: Balances ideal solutions with operational constraints and realistic timelines
Mission-Focused: Connects data work to Veteran impact and VA mission outcomes
Preferred
Deep experience with ServiceNow data models, APIs, and integration patterns
Prior work with Chief AI Office (CAIO) or federal data governance processes
Experience with Azure AI services and Azure data platform tools (Synapse, Data Factory, Databricks)
Knowledge of federal data standards and compliance frameworks
Experience with data quality tools and automated data profiling
Background in reliability engineering, SRE practices, or IT operations data
Certifications in data engineering, cloud platforms, or ML operations
Experience working in distributed, remote teams
Benefits
Competitive benefits package including paid time off
Healthcare benefits
Supplemental benefits
401k including an employer match
Education reimbursement for certifications, degrees, or professional development
Funds for activities - virtual and in-person - e.g., we host happy hours, holiday events, fitness & wellness events, and annual celebrations
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