AVP of Data Platform Services – Engineering & DevOps

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.

• 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

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 & Dev Ops 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.).
• Dev Ops, 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.

• 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 Dev Ops/MLOps/LLMOps service lines.
• Customer Success:
  Partner with colleagues in the platform and as well as the domain senior engineers to deliver tailored solutions and ensure adoption of best practices.
• Team Leadership:
  Mentor a team of engineers and architects.
• Innovation:
  Drive automation, governance, and operational excellence across services.
• Collaboration:
  
  Align services with Platform product roadmap and work closely with Domain Success teams.

• Service Delivery: 95%+ on‑time delivery of service features and enhancement requests.
• Automation Coverage: 90%+ of deployments automated via CI/CD pipelines.
• Customer Satisfaction:
  Maintain CSAT score of 4.5+/5 for service engagements.
• Operational Efficiency:
  Reduce deployment cycle time by 50% within 12 months.
• Innovation Impact:
  Launch at least 2 new automation or optimization features per quarter.

• Experience:
  
  10+ years in data engineering, Dev Ops, or platform services; 5+ years in leadership roles.
• Expertise:
  Strong knowledge of Microsoft Fabric, Azure Dev Ops, CI/CD, MLOps frameworks, and modern data architectures.
• Hands‑On
  
  Skills:
  
  Proficiency in Python, SQL, Power Shell, and Fabric APIs.
• Leadership:
  Proven ability to scale teams and deliver enterprise‑grade solutions.
• Strategic Thinking:
  Ability to translate business objectives into technical solutions and service offerings.
• Strong mentoring and communication skills.
• Insurance industry experience preferred.
• Bonus:
  Experience with data product or AI product delivery and data mesh models.
• Expected to work in one of our offices 3 days per week and available for travel as required.

Applicants must be authorized to work in the U.S. without current or future sponsorship.

This role may be based out of any of our office locations, including:
New York, NY;
Parsippany, NJ;
Conshohocken, PA;
Wilkes‑Barre, PA;
Alpharetta, GA;
Rosemont, IL;
Plano, TX;
Scottsdale, AZ.

Salary Range $127,053–$ + bonus. In accordance with applicable pay transparency laws, this range represents a good‑faith estimate. Final compensation will be determined based on factors such as experience, credentials, geographic location, and other considerations permitted by law.