🏢 Department: Data & Advanced Analytics – Finance

About the Role

Meezan Bank is seeking an experienced and visionary Head of Data & Advanced Analytics to lead enterprise-wide data transformation initiatives. This strategic leadership role will drive the Bank’s data governance, analytics, AI/ML innovation, and digital enablement agenda in alignment with regulatory and Shariah-compliant banking frameworks.

Eligibility Criteria

Qualification

• Bachelor’s or Master’s degree in Computer Science or a related discipline.

• Advanced certifications in Data Management, AI/ML, or Executive Leadership (e.g., CDMP, CDO, MBA) preferred.

• Qualification in Islamic Finance will be considered an added advantage.

Experience

• 15+ years of progressive experience in data, analytics, or technology domains.

• Minimum 5 years in a senior leadership capacity managing large, cross-functional data teams.

Key Skills & Competencies

• Strong banking domain expertise (Risk, Finance, Compliance, Retail & Corporate Banking).

• Proven leadership in fast-paced, transformation-driven environments.

• Hands-on understanding of modern data platforms, AI/ML frameworks, BI tools, and enterprise integration technologies.

• Experience delivering enterprise-scale data solutions in banking environments.

• Strong knowledge of data governance, encryption standards, SBP regulations, GDPR, and enterprise compliance frameworks.

Core Responsibilities

• Define and execute the Bank’s enterprise data and analytics strategy aligned with business and regulatory objectives.

• Establish and enforce data governance, privacy, security, and compliance standards.

• Oversee all data and AI initiatives with centralized control and strategic direction.

• Manage and prioritize the analytics portfolio to ensure innovation, adoption, and value-driven outcomes.

• Build stakeholder alignment and cultivate a strong data-driven culture across the organization.

Location

Head Office – Karachi

Join one of Pakistan’s leading Islamic banks and play a pivotal role in shaping the future of enterprise data and advanced analytics.