Head of AI and Data Platform Engineering - Specialty Distribution (AI)

Location: Plano, TX, USA, or Daytona Beach, FL, USA

Company

Brown & Brown is an insurance brokerage organization whose Bridge Specialty Group connects retail partners with wholesale specialty insurance businesses across more than 25 niche-focused brands.

What you will do

• Define the Specialty Distribution data strategy, operating model, architecture standards, governance practices, and execution roadmap.
• Lead the design, delivery, governance, and operation of scalable data platforms, pipelines, integration services, reporting datasets, and reusable data products.
• Oversee AI solutions, AI agents, automation capabilities, and intelligent products from incubation through production and broader adoption.
• Establish modern software engineering, CI/CD, DevSecOps, cloud, data operations, platform reliability, and SDLC practices.
• Partner with enterprise architecture, security, analytics, engineering, business leadership, and product stakeholders to deliver measurable business value.
• Build and develop a high-performing AI and data engineering organization, including coaching, performance management, and talent development.

Requirements

• Bachelor’s degree in business, data science, computer science, information systems, engineering, or a related field.
• 10+ years of progressive experience in data engineering, AI, analytics platforms, software engineering, technology leadership, or related roles.
• Experience leading data, AI, engineering, or platform teams at scale, including operating model design and delivery accountability.
• Experience working with Director, VP, and C-suite stakeholders in a large-scale, matrixed enterprise environment and managing budgets, vendors, portfolios, and technology roadmaps.
• Strong technical understanding of Azure, Databricks, Data Lake, Azure Data Factory, Synapse, SQL, Power BI, Denodo, Snowflake, Cosmos DB, Boomi, and Azure AI Foundry.
• Working knowledge of Python, SQL, Spark, data orchestration, data integration, data modeling, data governance, platform operations, CI/CD, automated testing, Infrastructure as Code, and DevSecOps.

Nice to have

• Master’s degree in a relevant business, data science, computer science, information systems, or engineering field.
• Insurance industry experience and knowledge of risk, regulatory, compliance, privacy, and data protection requirements.
• Experience with GDPR, LGPD, Terraform, Bicep, Azure DevOps, Key Vault, automated deployments, or enterprise software engineering in Java or .NET.
• Experience mentoring teams on engineering excellence, data engineering standards, DevSecOps, platform reliability, and AI enablement.

Culture & Benefits

• Meritocratic culture focused on initiative, accountability, collaboration, and doing what is best for customers.
• Medical, prescription, dental, vision, life, and disability insurance.
• ESPP, 401(k), student loan assistance, and tuition reimbursement.
• Mental health and enhanced advocacy services.
• Paid time off, holidays, preferred partner discounts, and additional benefits subject to eligibility and waiting periods.