Head Of Data & Intelligence

Qualification: Master's degree (16 years of education) in Computer Science, Data Engineering, Data Science, Statistics or a related field from an HEC-recognized university. Preference would be given to foreign qualified candidates with proven track record. Experience: At least 10 years in data engineering, analytics or data-platform roles, including 4 years or more leading data or intelligence teams, with demonstrated delivery of production data platforms at scale. Skills & Competencies: • Data platform architecture (lakehouse or warehouse: Databricks, Snowflake, BigQuery or open-source equivalents) • Pipelines and orchestration (Spark, Airflow or Dagster, dbt, Kafka) • Cloud (AWS, Azure or GCP), infrastructure-as-code and DevOps practice • Data governance, cataloguing, lineage, security and privacy engineering • SQL and Python mastery; BI tooling (Power BI, Superset, Metabase) • Team leadership, vendor management and working across departmental boundaries Key Performance Indicators (KPIs): • Number of departmental datasets integrated into the governed data infrastructure, against the year-wise targets at Annex-J. • Data-pipeline uptime, data-quality scores and governance-compliance metrics. • Proportion of pillar and portfolio outcome metrics tracked through live dashboards, and proportion of Result-Based Monitoring baselines closed and independently verified.