VP, Engineering & Operations

Jobtailor; Plano (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor seeks a senior engineering and operations executive to lead the enterprise cloud strategy, data governance, and FinOps initiatives. You will drive workforce transformation, build high-performing teams across cloud engineering, infrastructure, and operations, and partner with HR and security to ensure scalable, secure AI-enabled infrastructure.

This role demands strategic advisory capabilities and a track record of delivering measurable business value.

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, data engineering, cloud modernization strategies, and ability to implement FinOps to drive cost transparency and cloud efficiency.
• Strong 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.

Responsibilities

• 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 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 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 FinOps to optimize cloud spend, forecasting, and cost-efficient practices.
• Drive cloud performance optimization, automation, and operational efficiency across 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 to improve quality, speed, and reliability.
• Build out the Operations & Command Center with proactive monitoring and incident response.
• Drive operational excellence through automation, observability, and data-driven decision making.
• Ensure high availability, performance, and reliability across critical systems.
• Build and scale AI infrastructure support for AI-driven monitoring and asset intelligence.
• Partner with data, security, and engineering teams to ensure AI infrastructure is secure and scalable.
• 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.

Skills

Cloud Strategy

Data Governance

FinOps

Leadership

Operational Transformation

Stakeholder Management

Data Analytics

Tools

Cloud Platforms

Data Analytics Tools

Monitoring Tools

Automation Tools

AI Management Tools

Job description

• 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.

Requirements

• 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.

Core Competencies

Demonstrates extensive experience in developing and executing cloud strategies, optimizing cloud performance, and leading workforce transformation initiatives. Proven ability to build high-performing teams and implement data governance and FinOps practices to drive operational excellence and business value.

Highest-signal resume keywords

• Cloud Strategy Development
• Data Governance Expertise
• FinOps Implementation
• Leadership in Organizational Change
• Operational Efficiency Optimization

ATS Optimization Keywords

Hard Skills

• Cloud Modernization
• Data Engineering
• DevOps Practices
• SRE Implementation
• AI Infrastructure Support
• Data Analytics
• Enterprise Data Platforms
• Automation Techniques
• Incident Response
• Performance Optimization

Soft Skills

• Exceptional Communication
• Leadership Skills
• Stakeholder Management
• Business Acumen
• Team Building

Industry Keywords

• Operational Transformation
• Agility Improvement
• Organizational Maturity
• Regulatory Compliance
• Data-Driven Culture

Tools & Technologies

• Cloud Platforms
• Data Analytics Tools
• Monitoring Tools
• Automation Tools
• AI Management Tools