Harley Zu

Q: What is Harley Zu email address?

Email Harley Zu at zu.harley@gene.com. This email is the most updated Harley Zu's email found in 2026.

Q: How to contact Harley Zu?

To contact Harley Zu send an email to zu.harley@gene.com. (updated on March 04, 2025)

Director of Data Engineering and Analytics at Genentech | South San Francisco, California, United States

About Harley Zu

Harley Zu, as the Director of Data Engineering and Analytics at Genentech, plays a pivotal role in shaping the company's data-driven culture and technological innovation within the biopharmaceutical industry. In this capacity, Harley oversees multiple high-performing data teams responsible for designing and implementing scalable data architectures that support complex research, development, and commercial operations. His leadership ensures that Genentech leverages cutting-edge big data technologies, cloud computing platforms, and advanced data science methodologies to accelerate drug discovery, optimize clinical trials, and enhance patient outcomes.

A core focus of Harley’s role involves developing and executing a comprehensive data strategy aligned with Genentech’s scientific and business objectives. This includes establishing robust data governance frameworks and ensuring compliance with industry regulations, such as HIPAA and GDPR, to safeguard sensitive health data. Harley’s expertise in architectural design enables seamless integration of diverse data sources—from genomic datasets to real-world evidence—facilitating real-time analytics and predictive modeling.

Key projects under Harley’s leadership include the deployment of enterprise-wide data platforms that support machine learning and AI initiatives, enabling more precise patient stratification and personalized medicine approaches. His team also works on optimizing data pipelines and workflows to improve data quality, accessibility, and security. With a strong background in analytical technology and cross-functional collaboration, Harley fosters innovation by bridging the gap between data science, engineering, and clinical teams, ultimately driving Genentech’s mission to transform patient care through data-driven insights.

Harley Zu Work