Science Applications International·25 days ago
25 days ago
Data Architect Lead
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What you'll do
- 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 VA 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 to obtain and manage data sets from disparate sources; maintain project management plans for tool development efforts
- Conduct data profiling, cleansing, enrichment, and validation aligned to VA standards
- Ensure data delivered to third parties (e.g., MEDLOG) conforms to provided standards
- Support VALIP cloud ecosystem development, including automated data exchange between internal and external supply chain partners
- Develop and maintain bi-directional interfaces between VALIP and Oracle Health EHR, iFAMS, and other enterprise systems; ensure data integrity and validated mappings
- Implement AI/ML algorithms and Generative AI capabilities to enhance predictive forecasting and provide near real-time data insights into inventory levels and demand
- Develop a Centralized Supply Chain Dashboard to monitor purchase orders, demand fluctuations, and inventory bottlenecks in real time
- Ensure all data architecture and migration activities comply with VA security, privacy, and organizational controls
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Position Summary The Data Architect Lead owns 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 (AEMS/MERS, GIP, Maximo) to modernized systems (DMLSS, LogiCole, VALIP) and the integration of AI/ML-driven analytics capabilities.
Key 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 VA 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 to obtain and manage data sets from disparate sources; maintain project management plans for tool development efforts
- Conduct data profiling, cleansing, enrichment, and validation aligned to VA standards
- Ensure data delivered to third parties (e.g., MEDLOG) conforms to provided standards
- Support VALIP cloud ecosystem development, including automated data exchange between internal and external supply chain partners
- Develop and maintain bi-directional interfaces between VALIP and Oracle Health EHR, iFAMS, and other enterprise systems; ensure data integrity and validated mappings
- Implement AI/ML algorithms and Generative AI capabilities to enhance predictive forecasting and provide near real-time data insights into inventory levels and demand
- Develop a Centralized Supply Chain Dashboard to monitor purchase orders, demand fluctuations, and inventory bottlenecks in real time
- Ensure all data architecture and migration activities comply with VA security, privacy, and organizational controls
Company
Science Applications International
Remote Work, TX, United States
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