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.

نوکری کی تفصیلات

کل عہدے:
1 اشاعت
نوکری کی شفٹ:
پہلا پہر
نوکری کی قسم:
محکمہ:
Technology Solution
نوکری کا مقام:
جنس:
کوئی ترجیح نہیں
کم از کم تعلیم:
بیچلرز
ڈگری کا عنوان:
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
کیریئر کی سطح:
تجربہ کار پیشہ ور
کم از کم تجربہ:
8 سال
اس سے پہلے درخواست دیجیۓ:
فروری ۲۲, ۲۰۲۵
تاریخِ اِشاعت:
فروری ۰۵, ۲۰۲۵

Pakistan Single Window

انفارمیشن ٹیکنالوجی · 101-200 ملازمین - اسلام آباد, کراچی

Pakistan Single Window (PSW) is an ICT-based system in Pakistan providing a single window for trade. PSW is a facility that allows parties involved in trade and transport to lodge standardized information and documents at a single-entry point to fulfill all import, export, and transit-related regulatory requirements. If information is electronic, then individual data elements need to be submitted only once. PSW will connect relevant government departments with each other and with economic operators like importers, exporters, customs agents, shipping agents, transporters etc, in Pakistan for efficient management of cross border trade. It will provide the ease and transparency in achieving compliance with relevant regulatory requirements, through an on-line facility, that will intelligently handle the information for each transaction without the need to provide same information more than once or to physically visit such government departments. Pakistan has committed to implement various provisions of World Trade Organization’s (WTO) Trade Facilitation Agreement that includes implementation of a National Single Window (NSW) system before February, 2022. Pakistan also needs PSW implementation to overhaul management of its external trade for reducing time, cost and complexity involved to improve its position in various global rankings on competitiveness and ease of doing business. Guiding vision and mission objectives: VISION: Pakistan will establish a world-class automated hub by 2022, offering services and creating efficiencies, to reduce cross border trade related costs, time and complications for improved trade facilitation and compliance. MISSION: Improve cross-border trader processing by providing centralized ICT based services, simplified processes, effective and reliable automation, harmonized data exchange and risk-based selectivity in enforcement of government’s regulations.

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