Sr Director, Head of Data & Analytics

15+ years of experience in data engineering, analytics platforms, or related technical domains

5+ years leading and scaling data engineering or data platform organizations

Proven experience applying Generative AI and LLM’s to data platforms or data products

Proven experience building unstructured vector stores and RAG solutions

Proven experience designing and operating data mesh architectures and domain-oriented data platforms

Strong understanding of modern cloud data platforms and analytics ecosystems

Competitive Benefits - Employee benefits include comprehensive medical, dental, vision, life and disability plans for eligible employees and their dependents. Additionally, Natera employees and their immediate families receive free testing in addition to fertility care benefits. Other benefits include pregnancy and baby bonding leave, 401k benefits, commuter benefits and much more. We also offer a generous employee referral program!

For more information, visit

www.natera.com

.

Natera is proud to be an Equal Opportunity Employer. We are committed to ensuring a diverse and inclusive workplace environment, and welcome people of different backgrounds, experiences, abilities and perspectives. Inclusive collaboration benefits our employees, our community and our patients, and is critical to our mission of changing the management of disease worldwide.

All qualified applicants are encouraged to apply, and will be considered without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, age, veteran status, disability or any other legally protected status. We also consider qualified applicants regardless of criminal histories, consistent with applicable laws.

The Head of Data & Analytics Engineering (Senior Director) is an entrepreneurial and visionary engineering leader who will build and scale our Data & Analytics team.

You will be responsible for building our data + Generative BI strategy, governance, and delivery across the organization while aligning them with the organization’s strategic goals.

A core focus of the role is improving data delivery velocity and reliability at scale.

You will identify systemic bottlenecks across ingestion, modeling, access, governance, and consumption, and drive structural improvements that reduce time-to-insight while maintaining high standards for quality, security, and compliance.

This includes setting clear delivery expectations, success metrics, and service levels for data products.