VP, Engineering & Operations
On-sitePlano, Texas, United States
Job Summary
Develop and execute multi-year engineering, operations, and cloud strategy aligned with enterprise goals while shaping the operating model to improve agility and scalability. Lead workforce transformation to uplift technical skills and build high-performing teams across cloud engineering, infrastructure, and command center functions. Define enterprise cloud strategy, including architecture, workload placement, and modernization roadmaps, while building a FinOps capability to optimize spend and drive cost-efficient practices. Oversee infrastructure modernization, implement DevOps and SRE practices, and ensure high availability across networks, compute, and storage. Build out the Operations & Command Center for proactive monitoring and incident response, and partner with data, security, and business units to ensure technology enhances productivity. This role reports to the CITO and requires a bold leader with 15+ years of progressive experience in data, analytics, and engineering, including 5+ years in a senior executive capacity.
Required Qualifications
- 15+ years of progressive experience in data, analytics, engineering, or related fields
- 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
- Deep expertise in data engineering
- Deep expertise in cloud modernization strategies
- 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
- 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
- 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
- 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
- Experience in the insurance industry, including risk, and regulatory considerations
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