Lead Analytics Engineer, AI Enablement (Remote)

About the team

Symetra's AI Enablement team is a fast-growing team of builders inside our Data Analytics organization. Our goal is to accelerate AI adoption across the company in two ways: by building shared platforms, tooling, and patterns that let other teams effectively integrate AI into their workflows, and by shipping AI-powered applications for the most important use cases.

We work in small, cross-functional teams, build with the people who use what we make, and move fast. Our first product in production, docstream, is an AI-powered document-processing platform that currently supports several of Symetra's back-end operational processes. We plan to continue to iterate on docstream and to build out other products using the same modular architecture, integrating third-party products where it makes sense.

About the role

As a Lead Analytics Engineer, you'll design and build the data platform our AI products are built on: the storage and pipelines for the documents and other unstructured data our AI applications use. You'll shape what we build, choose the right tools, set the patterns, and mentor the engineers building alongside you.

What you will do

* Design and build the data platform and pipelines that feed our AI products. * Determine how to store and serve the data our AI applications need, using an OLTP database, object storage, or our Snowflake data warehouse. * Solve data integration problems across our many structured and unstructured sources. * Partner with the software engineers building our AI products so the data platform fits what they need. Mentor other engineers and act as the technical lead for the data platform. *

Who You Are

• An expert data or analytics engineer (typically 8+ years) who has designed and built data platforms.
• Strong data engineering with SQL and Python: pipelines, data modeling, and integrating structured and unstructured data.
• Experience evaluating, choosing, and standing up data...