Head of Data & Intelligence

Head of Data & Intelligence at the Artificial Intelligence Delivery Unit, owning the Unit's data architecture, governed AI Data Lake and analytics function.

• Design and operate the data architecture of the Unit: the federated data exchange, the governed AI Data Lake, ingestion pipelines, the catalogue and access APIs
• Lead the Data Governance Liaison, the Business Intelligence and Dashboard Engineers and the Data Analysts; set engineering and analytical standards, review practice and documentation norms
• Negotiate and operationalize data-sharing arrangements with departments and the Punjab Information Technology Board under the tripartite MoU, and establish cataloguing, lineage, access-control and data-quality frameworks
• Convene departmental data stewards through the Data Stewardship Council; identify where departmental data is too weak to support delivery and drive remediation (stewardship, cleaning, digitization)
• Own the master data pipelines and the dashboards that feed quarterly stocktakes, pillar squads and PSC reporting; ensure reliability, monitoring and cost efficiency
• Establish and maintain the baseline register: fix each Result-Based Monitoring baseline at the Year-1 inception diagnostic and preserve the evidence trail for independent verification
• Clear the data-readiness condition at assurance Gate G1 for every use-case so no solution is commissioned on ungoverned or inadequate data

• Master's degree (16 years of education) in Computer Science, Data Engineering, Data Science or Statistics, in Computer Engineering/Sciences, Statistics, Data Science, recognised by HEC
• 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
• 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

• Required experience: At least 10 years
• 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
• Experience accepted from: Public Sector Organizations, Private Sector Organizations

• All candidates: 30 – 45 years
• Age is counted on the closing date, 12 Nov 2026.

An upper limit of 45 years means you must not have reached that age on the date age is counted. A relaxation applies only to the candidates the advertisement names, with the proof it asks for.

1. Interview

• Paper type: Mcqs

• Domicile

• Document checklist for this application

1. Register on Punjab Job Portal
2. Apply Online
3. Submit Application

Advertised by

Services & General Administration Department

Application link

jobs.punjab.gov.pk

Added to this site

22 Oct 2026

Verify every detail here against the original advertisement before applying.

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