Associate Director, Data Engineering Lead

Novartis • East Hanover, NJ

5d • $152,600 - $283,400 • Hybrid

About The Position

Ready to build the foundation that powers trusted, AI-ready data at scale? As Associate Director, Data Engineering, you will play a pivotal role in shaping how enterprise data is engineered, governed, and delivered across Novartis. Working at the intersection of data platforms, governance, and innovation, you will establish the standards, controls, and engineering capabilities that enable reliable, compliant, and high-quality data products. This is an exciting opportunity to influence enterprise-wide data strategy, drive modern DataOps practices, and help accelerate data-driven decision making that ultimately supports better outcomes for patients worldwide.

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.

Nice To Haves

• Advanced degree or relevant cloud, data engineering, data management, or architecture certification.
• Experience supporting regulated, privacy-sensitive, or compliance-driven data environments.

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.

Benefits

• health
• life and disability benefits
• a 401(k) with company contribution and match
• a variety of other benefits
• generous time off package including vacation, personal days, holidays and other leaves

What This Job Offers

• Job Type: Full-time
• Career Level: Manager