Chief AI & Data Platform Architect

Brown & Brown, Inc.; Town of Texas (WI); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Brown & Brown, Inc. seeks a Head of AI and Data Platform Engineering for Specialty Distribution to lead data and AI engineering across Plano, TX or Daytona Beach, FL.

You will own strategy, architecture, governance, and delivery of scalable data platforms and AI products that empower analytics, automation, and decision-making for the business. The role requires strategic leadership, deep cloud expertise, and hands-on delivery of data pipelines, governance, and modern SDLC practices in a large

Qualifications

• Bachelor’s degree in a related field; 10+ years in data, AI, or analytics leadership.
• Experience partnering with C-suite stakeholders in a large enterprise.

Responsibilities

• Define and execute data/AI platform strategy, roadmap, and governance.
• Lead a data and AI engineering organization delivering scalable data products and AI solutions.
• Oversee data platforms, pipelines, and services ensuring security, reliability and enterprise alignment.
• Collaborate with Enterprise Architecture, Security, and Business leaders to drive value and adoption.

Skills

Strategic leadership

Data engineering

AI engineering

Cloud fundamentals

Python

SQL

Spark

Data governance

Data modeling

Data orchestration

Data integration

Data platform operations

Education

Bachelor's degree

Master’s degree (preferred)

Tools

Azure

Azure Data Factory

Azure Data Lake

Azure Synapse

Databricks

SQL

Power BI

Snowflake

Denodo

Cosmos DB

Boomi

Azure AI Foundry

Job description

Brown & Brown, Inc. seeks a Head of AI and Data Platform Engineering for Specialty Distribution to lead data and AI engineering across Plano, TX or Daytona Beach, FL.

You will own strategy, architecture, governance, and delivery of scalable data platforms and AI products that empower analytics, automation, and decision-making for the business. The role requires strategic leadership, deep cloud expertise, and hands-on delivery of data pipelines, governance, and modern SDLC practices in a large