VP, Engineering & Operations

Vice President, Engineering & Operations

Built on meritocracy, our unique company culture rewards self‑starters and those who are committed to doing what is best for our customers. Brown & Brown is seeking a VP, Engineering & Operations to join our growing team in Plano, TX. The Vice President, Engineering & Operations is a transformative technology executive responsible for defining and delivering the next generation of enterprise engineering, operations, cloud, and infrastructure capabilities, reporting directly to the CITO.

• Develop and execute multi‑year engineering, operations, teammate experience, and cloud strategy aligned with enterprise goals.
• Shape and evolve the operating model to improve agility, scalability, and organizational maturity.
• Serve as a strategic advisor to the CITO on technology trends, organizational design, and operational transformation.
• Lead workforce transformation to uplift technical skills, leadership capabilities, and team effectiveness.
• Build, inspire, and develop high‑performing teams across cloud engineering, infrastructure, teammate experience, operations, and command center functions.
• Define and lead the enterprise cloud strategy, including architecture, workload placement, modernization, and migration roadmaps.
• Build and mature a Fin Ops capability to optimize cloud spend, improve forecasting, and drive cost‑efficient engineering practices.
• Drive cloud performance optimization, automation, and operational efficiency across all environments.
• Oversee cloud engineering, platform engineering, and infrastructure modernization initiatives.
• Implement modern Dev Ops, SRE, automation, and continuous delivery practices.
• Establish engineering standards, governance, and reusable frameworks that improve quality, speed, and reliability.
• Build out the Operations & Command Center, ensuring proactive monitoring, incident response, and operational resilience.
• Drive operational excellence through automation, observability, and data‑driven decision making.
• Ensure high availability, performance, and reliability across all critical systems and services.
• Build and scale AI infrastructure support for AI‑driven agent monitoring, automated inventory and asset intelligence, and AI‑enabled management and observability.
• Partner with data, security, and engineering teams to ensure AI infrastructure is secure, scalable, and aligned with enterprise strategy.
• Oversee enterprise infrastructure strategy across networks, compute, storage, and end‑user technologies.
• Champion a modern, frictionless teammate experience through intuitive tools and reliable services.
• Partner with HR, Security, and Business Units to ensure technology enhances productivity and engagement.

• BOLD, forward‑thinking leader who challenges the status quo and embraces emerging technologies.
• Ability to translate complex technology trends into actionable strategies that accelerate business value.
• Empathetic, people‑first leader who builds trust, psychological safety, and strong team culture.
• Proven ability to build high‑performing teams and develop future leaders.
• Skilled at organizational design, talent development, and capability uplift.
• Strong executive presence with the ability to influence business units and senior leadership.
• Highly collaborative and adept at aligning diverse stakeholders around shared goals.
• Comfortable navigating ambiguity and driving clarity in complex environments.
• Strong focus on measurable outcomes, continuous improvement, and operational resilience.

• Experience developing and executing cloud modernization strategies, including workload optimization, migration planning, and architectural evolution.
• Demonstrated ability to implement and scale Fin Ops practices to drive financial accountability, cost transparency, and cloud efficiency.
• Proven track record building automated, scalable cloud environments that support rapid delivery and operational excellence.
• Hands‑on experience applying AI and automation to operational domains such as monitoring, asset intelligence, and predictive issue detection.
• Ability to design and scale AI infrastructure that supports…