Director, Data Product Engineering

ABOUT THE ROLE Natera is seeking a product engineering leader to build and lead the team that designs, delivers, and operates domain data products and AI-enabled analytical solutions on NDP ( Natera Data Platform).

You will report to the Head of Data & AI and partner with platform, governance, and product functions to turn data needs into certified, production-grade data and analytics products.

Natera follows a data mesh architecture with headless data products: domain-owned assets, not tied to any BI layer, built for both human and AI consumption. A data product is ready when it is semantically correct and AI-ready, not just numerically accurate.

Your mandate is to make that standard repeatable across every domain while transforming how the team works: AI-native, 3–5x more productive, and self-service for the business. Please note that this is role focuses on product side of data engineering (not platform).

This person needs to demonstrate their ability to (a) Build a self-service analytics product experience for business users and (b) Create a catalog of AI ready gold-standard cross functional data products (c) Create an operating model focusing on reusability, speed.

and business value of data that scale beyond one business domain. Critical Priorities for This Role Standardize and scale how data products are built — one publishing standard, golden paths, and a common operating model across every domain.

Make the team AI-native — agentic SDLC and AI-assisted development become how everyone works resulting in higher productivity and growth opportunities Deliver a 3–5x productivity gain — instrumented with baselines and delivery KPIs, not anecdotes.

Raise data product quality — semantically correct, AI-ready, observable, ship-ready data products. Make analytics self-service — certified, discoverable products that business users and AI systems consume without an engineering queue. RESPONSIBILITIES 1.

Own Data Product Delivery Lead the build of cross functional data p