Vice President, Software Engineering

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.