Data Architect Lead
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Job Description
Data Architect Lead modernizing VA supply-chain data and systems for SAIC, a mission technology integrator. Building cloud integrations, AI/ML analytics, and real-time inventory dashboards.
Responsibilities:
- Own the end-to-end data strategy for the Product Line
- Develop and maintain product-specific data models and enterprise data architecture
- Lead data mapping, extraction, transformation, migration, and analytics activities from VA legacy systems to modernized platforms
- Develop and maintain data mapping, validation, and migration plans and schedules
- Design, develop, test, and manage data tools for datasets from disparate sources
- Maintain project management plans for data-tool development efforts
- Conduct data profiling, cleansing, enrichment, and validation aligned to VA standards
- Ensure data delivered to third parties conforms to provided standards
- Support VALIP cloud ecosystem development and automated data exchange with supply chain partners
- Develop and maintain bi-directional interfaces between VALIP and Oracle Health EHR, iFAMS, and other enterprise systems
- Implement AI/ML algorithms and Generative AI capabilities for predictive forecasting and near real-time inventory and demand insights
- Develop a centralized supply chain dashboard for real-time monitoring of purchase orders, demand fluctuations, and inventory bottlenecks
- Ensure data architecture and migration activities comply with VA security, privacy, and organizational controls
Requirements:
- Bachelor's degree in Computer Science, Data Science, Information Management, or related field and 13 years of experience
- 8+ years of data architecture and data engineering experience, with federal health IT experience strongly preferred
- Demonstrated experience with ETL development, data migration, and data governance in large-scale enterprise environments
- Proficiency with database engineering, data modeling, and VA legacy systems (AEMS/MERS, GIP, Maximo, VistA)
- Experience with cloud data platforms (AWS, Azure, VAEC) and data pipeline tools
- Familiarity with FHIR data standards and HL7 messaging for healthcare interoperability
- Knowledge of AI/ML and Generative AI frameworks for predictive analytics and supply chain optimization
- Understanding of VA data governance standards, HIPAA/PHI requirements
- Must be able to obtain and maintain a Public Trust
- Preferred certifications: Certified Deployment Professional; Certified SAFe Agile Architect; Databricks Certified Data Engineer; Databricks Certified Generative AI Engineer; CDMP
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