Data Architect

SAICFlexwork, VA
Remote

About The Position

SAIC is seeking a Data Architect to own the end-to-end data strategy for the product line, including data modeling, migration planning, ETL development, data governance, and analytics. This role is critical to the successful migration of legacy supply chain data to modernized platforms and the integration of AI/ML-driven analytics capabilities. This position is contingent upon contract award. This position is fully remote and can be worked from anywhere within the United States.

Requirements

  • End-to-end data strategy ownership
  • Data modeling
  • Migration planning
  • ETL development
  • Data governance
  • Analytics
  • Migration of legacy supply chain data to modernized platforms
  • Integration of AI/ML-driven analytics capabilities
  • Data mapping
  • Extraction, transformation, migration, and analytics activities from legacy systems to modernized platforms
  • Data profiling, cleansing, enrichment, and validation
  • Cloud data ecosystem development
  • Automated data exchange between internal and external supply chain partners
  • Bi-directional interfaces between the logistics platform and enterprise EHR, financial, and other systems
  • AI/ML algorithms and Generative AI capabilities implementation
  • Centralized supply chain dashboard development
  • Compliance with applicable security, privacy controls

Responsibilities

  • Develop and maintain product-specific data models and enterprise data architecture aligned to product line standards
  • Lead data mapping, extraction, transformation, migration, and analytics activities from legacy systems to modernized platforms
  • Develop and maintain the Data Mapping and Validation Plan, Data Migration Plan and Schedule, and Data Mapping Document
  • Design, develop, test, and manage data tools
  • Conduct data profiling, cleansing, enrichment, and validation aligned to enterprise standards
  • Ensure data delivered to third parties conforms to provided standards
  • Support cloud data ecosystem development, including automated data exchange between internal and external supply chain partners
  • Develop and maintain bi-directional interfaces between the logistics platform and enterprise EHR, financial, and other systems
  • Implement AI/ML algorithms and Generative AI capabilities to enhance predictive forecasting and provide near real-time insights into inventory levels and demand
  • Develop a centralized supply chain dashboard to monitor purchase orders, demand fluctuations, and inventory
  • Ensure all data architecture and migration activities comply with applicable security, privacy controls
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