Vice President, Software Engineering

Role overview We are hiring a Vice President of Software Delivery to lead enterprise software delivery execution, platform modernization, and engineering operating-model transformation across multiple Business Units. The role owns delivery outcomes across squads, drives platform consolidation, establishes engineering governance, and aligns business priorities with enterprise architecture, AI initiatives, and technology execution.

Responsibilities - Own delivery KPIs for predictability, quality, operational stability, and production health across all Business Units. - Lead platform consolidation and modernization into reusable services, APIs, and common engineering patterns, reducing duplication and accelerating velocity. - Establish engineering standards covering 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. - Deploy AI-enabled engineering capabilities that improve developer productivity, test automation, defect reduction, documentation, incident analysis, and operational insight, balanced with responsible-AI standards. - Partner with Product, Infrastructure, DevOps, Database, Security, AI, PMO, Operations, and QA leadership to align enterprise initiatives with delivery execution, while representing software delivery in executive discussions. - Oversee daily management, KPI reviews, release readiness, and production health reviews, and coach high-performing delivery leadership teams. - Align CapEx and OpEx, resource planning, and platform or tooling investments with delivery velocity and stability goals.

Requirements - Bachelor's degree in Computer Science, Engineering, or equivalent experience. - Twelve or more years of software engineering leadership experience, including seven or more 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 or 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.

Nice to have - Background 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.