VP, Engineering & Operations at 001 Brown & Brown, Inc — Plano, TX

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.

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.

Teammate Benefits & Total Well-Being

• Health Benefits: Medical/Rx, Dental, Vision, Life Insurance, Disability Insurance
• Financial Benefits: ESPP; 401k; Student Loan Assistance; Tuition Reimbursement
• Mental Health & Wellness: Free Mental Health & Enhanced Advocacy Services
• Beyond Benefits: Paid Time Off, Holidays, Preferred Partner Discounts and more.

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