Eligibility:

Qualification:

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Information Systems, or related field.

• Qualification in Islamic Finance is an added advantage.

Experience:

• 10+ years in data engineering, data warehousing, or analytics.

• Minimum 3 years in a leadership role within a regulated environment (banking/financial services).

Skills Required:

• Design & implement enterprise data engineering and ETL solutions (DataStage, Informatica, ODI).

• Build & operate modern data warehouse/lake-house platforms (Teradata, DB2 Warehouse) with big data technologies (Spark, Hadoop, Kafka, Flink).

• Develop scalable data models (3NF & Star), proficient in SQL, Shell scripting, Python/Scala, CI/CD pipelines, automation, monitoring, and orchestration of data workflows.

• Ensure data governance, security, regulatory compliance, platform reliability, monitoring, SLAs, and disaster recovery.

Responsibilities:

• Define & own enterprise data architecture strategy aligned with business objectives, regulatory requirements (SBP, FATF), and analytics/AI initiatives.

• Lead data platform engineering & operations, establish ETL and integration standards, manage scalable on-premise platforms for BI and advanced analytics.

• Enable data quality, governance, lineage, and metadata management, operationalize validation frameworks.

• Drive performance optimization, reliability, automation, monitoring, SLA management, failover, backup, and disaster recovery.

• Build & mentor high-performing teams; foster cross-functional collaboration across digital banking, risk, compliance, finance, and business stakeholders.

• Adopt modern data architectures and emerging technologies.

Department: Data & AI Unit – Finance Department

Location: Head Office – Karachi

Last Date to Apply: February 19th, 2026