Associate Director, Data Engineering Lead

Novartis Pharmaceuticals Corporation is hiring an Associate Director, Data Engineering Lead to shape enterprise data engineering, governance, and delivery. The role establishes standards and controls, oversees scalable data pipelines and data contracts, and advances observability and automation to enable reliable, compliant data products.

Responsibilities:

• Define and enforce enterprise standards for data engineering, pipeline reliability, and production controls
• Design and oversee scalable, governed data pipelines supporting critical business and data domains
• Lead the enterprise data contract lifecycle, including review, approval, governance, and enforcement
• Implement data observability capabilities across monitoring, anomaly detection, service levels, and operational alerting
• Establish controls that ensure critical data elements remain traceable, validated, and protected
• Develop safeguards that prevent incomplete, inaccurate, or non-compliant data from reaching downstream systems
• Partner with data modeling teams to align engineering implementation with approved enterprise data models
• Collaborate across governance, privacy, architecture, and platform teams to enable compliant data delivery
• Drive automation for deployment, validation, metadata capture, lineage generation, testing, and reporting
• Monitor operational performance and lead resolution of pipeline, contract, and data reliability issues

Requirements:

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Data Management, Engineering, Analytics, or a related field
• 5+ years of experience in data engineering, data governance, data architecture, data product management, or enterprise data platform delivery
• Experience designing, building, or governing enterprise data pipelines, data products, data platforms, or data integration capabilities
• Direct experience with data contracts, schema validation, data pipeline monitoring, data observability, or data product certification
• Experience working in complex enterprise environments with multiple data producers, consumers, vendors, platforms, and governance stakeholders
• Advanced degree or relevant cloud, data engineering, data management, or architecture certification
• Experience supporting regulated, privacy-sensitive, or compliance-driven data environments