Berkshire Hathaway GUARD Insurance Companies

AVP of Data Platform Services – Engineering & DevOps

Wilkes-Barre, PA, US$127,053-$313,842Posted 5 months ago

Job Description

Overview

Good things are happening at Berkshire Hathaway GUARD Insurance Companies—an A+ (Superior) rated, nationwide Property & Casualty insurer backed by Berkshire Hathaway. With supportive leadership, collaborative teams, and opportunities to grow, GUARD is a place where people build meaningful, long‑term careers. Good Things You Can Count On.

  • Hybrid schedule: 2 days remote / 3 in‑office
  • Predictable hours (no nights, weekends, or holidays)
  • Competitive pay + generous PTO
  • Medical, dental & vision starting day one
  • 401(k), tuition reimbursement & longevity bonuses

Responsibilities: Shape, code and scale next-gen data services on cutting-edge DnA Platform! At Berkshire Hathaway GUARD, we’re not just insuring-we’re innovating. Our Data & Analytics (DnA) organization is at the heart of transforming how we assess risk, serve customers, and shape the future of insurance. We’re seeking AVP of Data Platform Services - Engineering & DevOps to lead the execution of our most strategic data initiatives.

This role will own and drive two core service pillars of our platform:* Data Engineering & Integration Services * Enable customers to ingest, transform, and manage data pipelines using Microsoft Fabric workloads (Data Factory, Lakehouse, etc..). * DevOps, CI/CD, MLOps & LLMOps Services * Deliver automation and operational excellence for deploying data and AI solutions. * Implement CI/CD pipelines for Fabric workloads, manage MLOps for model lifecycle, and establish LLMOps for generative AI solutions.

This is a hands-on leadership role—you will build and maintain code, templates, and technical assets within Microsoft Fabric workloads, while scaling services and leading a team. What You’ll Do* Hands-On Development: Design, build, and maintain reusable code, deployment templates, and automation scripts for Fabric workloads. * Service Ownership: Define, manage, and continuously improve Data Engineering and De...

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