Job description

Position Overview The Vice President, Software Engineering is responsible for enterprise software delivery execution, platform modernization, and engineering operating model transformation across the Business Unit. This leader owns delivery outcomes across squads, drives platform consolidation strategy, establishes engineering governance standards, and ensures alignment between business priorities, enterprise architecture, AI initiatives, and technology execution. The Vice President serves as the senior technical delivery leader for the organization, overseeing Business Unit delivery leadership while partnering closely with Product, Infrastructure, DevOps, Database, Security, AI, PMO, and Operations leadership. This role will guide the transition from fragmented delivery models into standardized, platform-oriented engineering capabilities that improve scalability, reduce duplication, accelerate delivery velocity, and strengthen operational reliability. The ideal candidate has demonstrated experience deploying AI-enabled engineering practices and tools to maximize engineering productivity and efficiency while expanding quality, automation, and operational reliability across the software delivery lifecycle. What You Will Own This role owns enterprise software delivery performance and KPI accountability across Business Units, including delivery predictability, quality, operational stability, production health, and execution against strategic roadmap commitments. The Vice President will also own the technical leadership system centered on Tech Lead accountability, embedded architectural ownership, consistent KPI governance, disciplined PSR execution, and PMO-supported cross-department initiative delivery. Essential Responsibilities Collaborate with architecture and delivery peers on enterprise vision and strategy for Software Delivery across all Business Units. Own delivery KPIs for predictability, quality, operational stability, and production health. Lead platform consolidation and modernization into reusable services, APIs, and common engineering patterns. Establish engineering standards for CI/CD, code review, automated testing, security scanning, release readiness, rollback, observability, and incident learning. Drive measurable improvement in deployment frequency, lead time, defect escape rate, change failure rate, incident trends, and delivery predictability. Ensure enterprise architecture standards and AI directives are adopted across products and squads. Partner with Product, Infrastructure, DevOps, Database, Security, AI, PMO, Operations, QA COE, and Support to align enterprise initiatives with delivery execution. Oversee Daily Management, KPI reviews, release readiness, production health reviews, and PSR execution across Business Units. Drive AI-enabled engineering capabilities that improve developer productivity, test automation, defect reduction, documentation, incident analysis, and operational insight. Establish responsible AI usage standards that balance productivity with security, compliance, maintainability, and quality. Represent Software Delivery in executive customer, partner, and stakeholder discussions. Build and coach high-performing delivery leadership teams, including BU leaders, Domain Software Managers, and Tech Leads. Oversee CapEx and OpEx alignment, resource planning, and platform/tooling investments tied to delivery velocity and stability. Qualifications Bachelor degree in Computer Science, Engineering, or equivalent experience. 12+ years of software engineering leadership experience, including 7+ years leading multiple teams or Business Units. Proven success leading platform transformation, modernization, consolidation, and governance across legacy and modern systems. Experience implementing scalable engineering governance models, Agile/Lean delivery practices, and measurable flow and quality improvements. Demonstrated experience deploying AI-enabled engineering practices, developer productivity tooling, or intelligent automation within software delivery organizations. Strong executive communication, stakeholder management, and organizational leadership capability. Successful completion of the Nlets fingerprinting background assessment. Technical Background Experience across enterprise software delivery, platform ecosystems, APIs, microservices, cloud platforms, containers, CI/CD, observability, and reliability engineering. Ability to evaluate platform strategy, delivery tradeoffs, architectural direction, modernization paths, AI-enabled engineering practices, and operational risk. Familiarity with SaaS or large-scale digital platforms, internal developer platforms, distributed systems, and legacy modernization. Leadership Competencies Strategic Mindset: Aligns delivery, platform consolidation, modernization, AI adoption, and business growth. Ensures Accountability: Owns enterprise delivery outcomes and creates clear accountability across BU leaders, Domain Software Managers, Tech Leads, Scrum Masters, PMO, QA COE, and Support. Builds Effective Teams: Develops strong delivery leaders and strengthens succession planning, coaching, ownership, and continuous learning. Customer Focus: Ensures delivery models improve customer outcomes, reliability, operational excellence, and predictable execution. Cultivates Innovation: Advances modern engineering, automation, platform capabilities, and AI-enabled productivity while maintaining governance discipline. Decision Quality: Balances speed, quality, reliability, security, scalability, maintainability, and business value. Communicates Effectively: Aligns Product, Engineering, Infrastructure, DevOps, Database, Security, AI, PMO, Operations, and executive stakeholders. Complex Ecosystem Delivery: Orchestrates execution across product, platform, infrastructure, quality, support, and operations domains. Success in the First 6 Months Establish enterprise delivery governance, KPI operating model, decision rights, Tech Lead accountability, and PMO engagement rules. Define platform consolidation roadmap, modernization priorities, shared service opportunities, and legacy deprecation approach. Improve delivery predictability and operational KPI performance quarter over quarter. Standardize release readiness and production health reviews across Business Units. Strengthen alignment with Infrastructure, DevOps, Database, Security, AI, Product, and PMO leadership. Launch initial AI-enabled engineering productivity initiatives with measurable improvements in efficiency, quality, automation, or operational effectiveness. Verra Mobility Values An ideal candidate for this role naturally works in alignment with the Verra Mobility Core Values: Own It. We focus on high performance and drive toward breakthrough outcomes. Our employees ensure accountability, optimize and align work, focus on the customer, and cultivate innovation. Do What’s Right. We champion integrity and good character. Our team members model ethical behavior, demonstrate good judgment and are courageous. Choose Courage Over Comfort. We lean into the conversations, decisions and actions that move the business forward, even when they feel uncomfortable. We challenge assumptions, address issues early and prioritize progress over ease. Win Together. We believe in growing and inspiring people together. We seek people who collaborate, value differences, think and act globally, foster an engaging work environment, and recognize and develop others. With your explicit consent which you provided as part of the application process, we will retain candidate personal data solely for the business purpose for which it was collected. In no event will we retain such data more than two (2) years following the closure of the recruitment process relating to the role for which you applied or in the event other related job opportunities arise within the company. Verra Mobility Applicant Privacy Notice Verra Mobility is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. .

Requirements

Must-haves

Position Overview
What You Will Own
Collaborate with architecture and delivery peers on enterprise vision and strategy for Software Delivery across all Business Units.
Own delivery KPIs for predictability, quality, operational stability, and production health.
Lead platform consolidation and modernization into reusable services, APIs, and common engineering patterns.
Establish engineering standards for CI/CD, code review, automated testing, security scanning, release readiness, rollback, observability, and incident learning.
Drive measurable improvement in deployment frequency, lead time, defect escape rate, change failure rate, incident trends, and delivery predictability.
Ensure enterprise architecture standards and AI directives are adopted across products and squads.
Partner with Product, Infrastructure, DevOps, Database, Security, AI, PMO, Operations, QA COE, and Support to align enterprise initiatives with delivery execution.
Oversee Daily Management, KPI reviews, release readiness, production health reviews, and PSR execution across Business Units.
Drive AI-enabled engineering capabilities that improve developer productivity, test automation, defect reduction, documentation, incident analysis, and operational insight.
Establish responsible AI usage standards that balance productivity with security, compliance, maintainability, and quality.
Represent Software Delivery in executive customer, partner, and stakeholder discussions.
Build and coach high-performing delivery leadership teams, including BU leaders, Domain Software Managers, and Tech Leads.
Oversee CapEx and OpEx alignment, resource planning, and platform/tooling investments tied to delivery velocity and stability.
Bachelor degree in Computer Science, Engineering, or equivalent experience.
12+ years of software engineering leadership experience, including 7+ years leading multiple teams or Business Units.
Proven success leading platform transformation, modernization, consolidation, and governance across legacy and modern systems.
Experience implementing scalable engineering governance models, Agile/Lean delivery practices, and measurable flow and quality improvements.
Demonstrated experience deploying AI-enabled engineering practices, developer productivity tooling, or intelligent automation within software delivery organizations.
Strong executive communication, stakeholder management, and organizational leadership capability.
Successful completion of the Nlets fingerprinting background assessment.
Technical Background
Experience across enterprise software delivery, platform ecosystems, APIs, microservices, cloud platforms, containers, CI/CD, observability, and reliability engineering.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aici/cdagilescrum

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Vision