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Overview
Senior

Sr Director, Head of Data & Analytics

Confirmed live in the last 24 hours

Natera

Natera

Compensation

$217,400 - $271,800/year

US Remote
Remote
Posted March 25, 2026

Job Description

Role Overview

 

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.

 

Key Responsibilities

 

Set Data Platform Strategy & Direction

  • Define and execute a multi-year strategy for data and analytics platforms aligned with business priorities and AI roadmaps

  • Establish clear architectural principles across centralized platforms and domain-owned data products

  • Drive the company’s evolution toward a federated or data mesh operating model, balancing domain autonomy with platform-enforced standards

  • Advanced the integration of Generative AI into data platforms to enable self-service and accelerate insight

Build & Operate Scalable Data Platforms

  • Own the design and operation of enterprise data platforms supporting analytics, reporting, machine learning, and Generative AI applications

  • Build unstructured vector store and RAG capabilities to power Generative AI applications

  • Define platform capabilities that enable domains to publish, manage, and operate high-quality data products

  • Ensure platforms are reliable, secure, cost-effective, and scalable

Own Data Delivery & Business Outcomes

  • Own end-to-end data delivery for analytics, reporting, and AI use cases, from intake and prioritization through production delivery

  • Establish operating models that balance central platform capabilities with domain-led data product delivery

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