VP, Quality Software Engineering (Remote)

Broadridge is a company focused on empowering others to accomplish more. They are seeking a Vice President, Quality Software Engineering to lead strategic quality engineering capabilities across Platform Quality Engineering, focusing on testing tools, innovation, and transformation rollout.

Responsibilities:

• Define and lead the strategy for PQE strategic testing tools and quality engineering capabilities across the organization
• Lead and develop a small, high-performing team focused on enterprise testing tools, innovation, enablement, and transformation
• Serve as a hands-on technical leader in the evaluation, implementation, optimization, and scaling of testing tools and supporting engineering utilities
• Drive enterprise adoption of strategic testing tools through standards, enablement, coaching, and measurement of effectiveness
• Build and mature tool labs and innovation initiatives to assess emerging testing technologies, accelerators, and AI-assisted engineering capabilities
• Lead proof-of-concept efforts, technical evaluations, and feasibility assessments to inform strategic investment decisions
• Partner with Platform Engineering, Architecture, DevOps, and delivery leaders to ensure testing tools align with platform strategy, developer workflows, and enterprise engineering standards
• Coach and mentor engineers, SDETs, and leaders on modern quality engineering practices, tool usage, and adoption of improved engineering approaches
• Lead transformation rollout efforts tied to quality engineering modernization, helping teams adopt new tools, operating practices, and standards at scale
• Define and track success metrics related to tool adoption, engineering effectiveness, quality improvements, and delivery efficiency
• Drive standardization and reduce fragmentation across testing tools and related quality engineering practices
• Advance the use of AI-assisted testing and engineering tools, including experimentation, governance, practical application, and scaled adoption
• Provide technical leadership and strategic recommendations to senior management on opportunities to improve quality engineering maturity and engineering effectiveness across the organization

Requirements:

• 12+ years of experience in software engineering, quality engineering, test engineering, or related technical disciplines, including significant experience leading enterprise-scale engineering capabilities
• 5+ years of experience leading technical teams and developing engineering talent
• Bachelor's degree in Computer Science, Engineering, Technology, or a related discipline, or equivalent practical experience
• Deep technical expertise in software engineering, quality engineering, testing tools, and modern software delivery practices
• Proven experience evaluating, implementing, and scaling enterprise testing tools and quality engineering solutions across multiple teams or product areas
• Strong hands-on experience with testing technologies across UI, API, integration, and related engineering use cases
• Strong programming or scripting experience in languages such as Java, Python, or C#
• Experience with CI/CD and DevOps practices, including integration with tools such as Jenkins, GitHub Actions, GitLab, Bamboo, or similar platforms
• Proven success driving organizational adoption of technical tools, practices, and standards
• Demonstrated ability to lead highly technical, cross-functional initiatives across engineering, architecture, and platform teams
• Strong communication and leadership presence, with the ability to influence at both the engineering and executive levels
• Proven ability to lead technical transformation while remaining close to implementation details and hands-on engineering decisions
• Experience leading strategic quality engineering, testing tools, or developer enablement initiatives in a large-scale enterprise environment
• Strong understanding of platform engineering concepts and how internal platforms improve developer productivity and engineering quality
• Experience establishing innovation programs, labs, or proof-of-concept models for engineering tools and accelerators
• Expertise in AI-assisted development and testing tools, including governance, experimentation, and scaled adoption
• Experience with cloud-native architectures, microservices, APIs, event-driven systems, and distributed platform testing
• Familiarity with JIRA, Xray, and related engineering lifecycle tools
• Experience with containerized and cloud-native environments, including Docker and Kubernetes
• Strong understanding of engineering metrics and the ability to define KPIs that measure tool effectiveness, adoption, and quality outcomes
• Proven success leading modernization and transformation efforts across engineering organizations
• Financial services or other highly regulated industry experience preferred