SVP – Enterprise Data, Business Intelligence & Analytics

Role Overview

The SVP will provide senior functional and operational leadership across Pakistan Single Window’s Data Management Office, ensuring that enterprise data, business intelligence, and analytics capabilities are delivered with strong governance, clear accountability, disciplined execution, and sustainable technical foundations.

What You Will Do

The role will translate organisational priorities into executable data initiatives, services, and capabilities; strengthen delivery discipline; establish and enforce professional standards; and ensure that data governance, architecture, engineering, BI, analytics, and data services operate as an integrated function.

Why It Might Be a Fit

The SVP will work closely with the CEDO, executive management, business functions, and technology teams, providing the CEDO with strong functional leadership, objective performance visibility, and practical recommendations on delivery, capability, priorities, and risks.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Information Systems, Data Science, Data Engineering, Statistics, Business Analytics, or a related discipline.
• Minimum 16 years of education.
• Minimum 14 years of relevant professional experience, including substantial experience in enterprise data, business intelligence, analytics, or related technology functions.
• Demonstrated experience in a senior leadership role managing complex data or digital portfolios.
• Proven record of improving delivery performance and establishing management discipline in complex technology environments.
• Demonstrated experience in stabilizing and strengthening delivery performance in complex or transformation-focused technology environments.
• Experience leading multidisciplinary teams and working across business and technology functions.
• Demonstrated experience implementing or operating enterprise data governance and data quality frameworks.
• Strong understanding of data architecture, data integration, ETL/ELT, APIs, data platforms, and modern data management practices.
• Experience with enterprise BI and analytics platforms such as Power BI, Tableau, or Oracle Analytics.
• Working understanding of SQL and relevant analytical/programming environments such as Python or R.
• Understanding of AI/ML, advanced analytics, and responsible use of AI in enterprise environments.
• Strong understanding of data security, privacy, access control, and information lifecycle considerations.
• Experience in development or management of data services, APIs, analytical products, or reusable enterprise data assets.
• Experience in large-scale technology, digital transformation, financial services, public-sector, or trade-related environments would be an advantage.
• Leadership Experience: The successful candidate should demonstrate experience managing senior technical and professional staff, ability to establish accountability and delivery discipline without becoming unnecessarily operational, experience managing complex stakeholder environments, ability to challenge technical and business assumptions constructively, demonstrated judgement in balancing delivery, quality, risk, cost, and organizational capacity, experience developing managers and functional leads, and building sustainable leadership capability.

Benefits

• Competitive salary
• Fuel Card
• Health benefits
• Professional development opportunities
• Inclusive work culture & much more