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, this leader will set a bold vision for modern technology adoption, operational excellence, and organizational maturity. The ideal candidate is a visionary who embraces new technologies and approaches to accelerate technical capability, elevate skill sets, strengthen culture, and evolve operating models. This role requires a dynamic people leader who excels at building high‑performing teams and designing organizations that scale with the business. 

How You Will Contribute:  

• Develop and execute multi-year engineering, operations, teammate (employee) 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 FinOps 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 DevOps, 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 (employee) experience through intuitive tools and reliable services. 

• Partner with HR, Security, and Business Units to ensure technology enhances productivity and engagement. 

Leadership Competencies 

• 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, 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. 

Technology Competencies 

• Experience developing and executing cloud modernization strategies, including workload optimization, migration planning, and architectural evolution. 

• Demonstrated ability to implement and scale FinOps 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 enterprise-wide adoption, security, and performance requirements. 

• Deep experience leading teams in modern engineering disciplines such as DevOps, SRE, and platform engineering. 

• Strong background implementing automation, CI/CD pipelines, and reusable engineering frameworks to accelerate delivery. 

• Expertise designing resilient, high availability infrastructure across networks, compute, storage, and end user technologies. 

• Demonstrated ability to modernize infrastructure environments with a focus on performance, security, and operational efficiency. 

• Experience building observability, monitoring, and proactive issue prevention capabilities into complex technology ecosystems. 

• Implement modern DevOps, 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. 

Skills & Experience to be Successful:  

Required:   

• 15+ years of progressive experience in data, analytics, engineering, or related fields, including 5+ years in a senior executive or Chief Engineering and Operations‑level role. 

• Proven success building and scaling enterprise data platforms and modern data architectures. 

• Deep expertise in data governance, data engineering, cloud modernization strategies, and ability to implement and scale FinOps practices to drive financial accountability, cost transparency, and cloud efficiency. 

• Demonstrated ability to operate in a fast‑paced, outcomes‑driven environment with a strong bias for action. 

• Strong business acumen with a track record of enabling measurable business value through data. 

• Exceptional communication, leadership, and stakeholder‑management skills. 

• Experience driving organizational change and building data‑driven cultures. 

• Strong understanding of regulatory, ethical, and security considerations related to data and AI. 

Preferred:   

• Experience in the insurance industry, including risk, and regulatory considerations.