Senior Vice President of Software Engineering
Role summary
The Senior Vice President of Software Engineering will lead the enterprise-wide Engineering function, defining the vision and operating model for AI-first product development and platform innovation. This role involves managing and developing a team of engineering leaders, shaping technical strategy in collaboration with Product, Architecture, and Platform leaders, and driving operational excellence. The ideal candidate will champion modern engineering practices and organizational agility to accelerate value delivery, aligning engineering investments with strategic business outcomes. A strong background in AI-first platforms, software engineering, architecture, and people leadership is essential.
What You’ll Do and Impact:
● Lead the enterprise-wide Engineering function, setting the vision and operating model to
drive AI-first product development and platform innovation.
● Manage, mentor, and develop a team of engineering leaders across Solution Groups,
fostering a culture of ownership, experimentation, and continuous improvement.
● Shape technical strategy in partnership with Product, Architecture, and Platform leaders
to deliver reliable, scalable, and secure solutions.
● Drive operational excellence, ensuring high-quality execution across all engineering
teams and delivering customer-centric outcomes.
● Champion modern engineering practices and organizational agility to accelerate time-to-
market and value delivery.
● Collaborate closely with Executive leadership to ensure engineering investments align to
strategic business outcomes.
● Model innovation leadership by exploring new tools, AI capabilities, and startup-like
models to spark engineering transformation.
Experience:
● Bachelor’s degree in Computer Science, Engineering, or related field; Master’s degree
preferred
● 15+ years of software engineering and architecture experience
● 10+ years of progressive people leadership, including senior technical leaders across
multiple teams or departments
● Proven success leading large-scale engineering organizations and building AI-first
platforms
● Experience in high-growth or start-up environments preferred
● Deep understanding of software development lifecycle, cloud-native architectures, and
modern engineering practices
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