Scope of Work:
The AI, Data & Software Architecture Lead will undertake the following tasks, organized into distinct phases:
Assess Current Data & Software Infrastructure:
- Collaborate with the Strategic Advisor, Lead Customs & Trade Facilitation Advisor, and the Product Strategy, Management & Delivery Lead, in addition to the relevant stakeholders in PSW and FBR to assess the current WeBOC database and data infrastructure, including data quality, performance, and security.
- Identify gaps and limitations in the existing software and data infrastructure and make recommendations for improvement.
Design Data & Software Architecture:
- Based on stakeholder requirements, use cases, and industry best practices, design a comprehensive data and software architecture for the new WeBOC system.
- Ensure the architecture is modular, scalable, and can accommodate future growth and evolving needs.
- Incorporated advanced analytics, AI/ML, GenAI, and Agentic AI considerations into the data architecture design.
- Determine hardware requirements for the new architecture.
- Determine any licensing costs of required software tools required for the new architecture.
- Deliverable: A comprehensive data and software architecture design document that outlines the structure, components, and functionalities of the new WeBOC system's data infrastructure.
Develop and Deploy AI/ML Models:
- Develop and deploy machine learning models to enhance the Risk Management System (RMS) and other functionalities of the new WeBOC system.
- Collaborate with the Lead Customs and Trade Facilitation Specialist to ensure the models align with customs regulations and risk management best practices.
- Integrate the AI/ML models into the software architecture and ensure seamless data flow and processing.
Implement Data Architecture:
- Collaborate with the PSW technical team to implement the data architecture and integrate it with the overall software architecture.
- Oversee data migration, data quality assurance, and system testing.
- Provide guidance and support on data governance, data security, and data quality assurance, using frameworks, such as DAMA, TOGAF, etc.
- Deliverable: A fully implemented and operational data architecture for the new WeBOC system, including integrated AI/ML models for enhanced functionalities.
Optimize Software and Data Architecture:
- Continuously monitor the performance and scalability of the implemented software and data architecture.
- Make necessary adjustments and optimizations to ensure it meets the evolving needs of the WeBOC system.
- Incorporate feedback from stakeholders and the technical team to improve the data architecture's efficiency and effectiveness.
Knowledge Transfer:
- Provide training and support to the PSW team on the new data architecture and its functionalities.
- Develop documentation, guidelines, and best practices for data governance, data security, and data quality assurance.
- Contribute to the development of user manuals and knowledge transfer resources for PSW staff and other stakeholders.
- Deliverable: An optimized and well-documented software and data architecture for the new WeBOC system, along with comprehensive knowledge transfer resources for PSW staff and other stakeholders.
Required Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
- 8+ years of experience in data architecture, data engineering, or a related field.
- Strong knowledge of data modeling, data warehousing, and data integration techniques.
- Experience with AI/ML, GenAI, and Agentic AI technologies.
- Familiarity with microservices architecture and cloud-based data solutions.
- Excellent analytical, problem-solving, and communication skills.
Skills:
DAMA, Risk Management and Planning, AL, ML, Agentic AI, GenAI, Product Strategies,
