Lead Data Production - TV Audience Measurement

Lead Data Production – TV Audience Measurement

The Lead Data Production is responsible for managing and optimizing data processing workflows for South Africa’s official TV audience measurement currency. This role ensures timely, accurate, and compliant data delivery through robust ETL processes, quality assurance, and automation initiatives. The position collaborates closely with Operations, Methodology, and Technology teams to maintain data integrity and support continuous improvement.

• Data Workflow Management:
  Oversee daily data processing pipelines for panel, RPD, and streaming data sources; ensure T+1; T+28 delivery.
• Quality Assurance:
  Implement multi-layer QA checks, anomaly detection, and validation against BRC standards.
• Automation & Optimization:
  Identify and implement automation opportunities to improve efficiency and reduce latency.
• Compliance & Documentation:
  Ensure adherence to POPIA and BRC guidelines; maintain documentation for audits and accreditation.
• Collaboration:
  
  Work with Methodology teams to operationalize changes; support Operations in incident resolution and root cause analysis.
• Vendor Coordination:
  Liaise with data suppliers and technology partners to ensure SLA compliance.

• 6+ years in data operations or ETL pipeline management; experience in audience measurement or media analytics preferred.
• Strong knowledge of SQL, Python, and data orchestration tools (Airflow, Azure Data Factory).
• Familiarity with South African TV ecosystem, client governance, and POPIA compliance.
• Experience with cloud platforms (Azure/AWS) and big data technologies.
• Technical expertise in data processing; problem-solving; attention to detail; collaboration; leadership.

• On-time data delivery (T+1, T+28).
• QA pass rates.
• Automation coverage.
• SLA adherence.
• Compliance with internal GfK and POPIA standards.

Opportunity to lead data production for South Africa’s official TV audience measurement currency; exposure to advanced data technologies and industry best practices.

• Flexible working environment
• Volunteer time off
• Linked In Learning
• Employee-Assistance-Program (EAP)