• Leads, develops, and manages software engineering teams, fostering a culture of inclusion, accountability, technical excellence, continuous improvement, and collaboration
• Establishes and executes engineering strategy, roadmaps, priorities, and delivery plans aligned with business objectives
• Oversees software solution design, development, testing, deployment, and technical troubleshooting across multiple applications and technical domains
• Partners with product and business stakeholders to define priorities, manage scope, resolve dependencies, and ensure predictable delivery
• Oversees release management, deployment coordination, production readiness, change management, and operational stability
• Drives adoption and continuous improvement of CI/CD pipelines, automated testing, infrastructure automation, observability, and secure software delivery practices
• Identifies, assesses, and mitigates technology, delivery, operational, cyber, and regulatory risks
• Ensures the creation and maintenance of architecture, design, risk, control, and delivery artifacts
• Uses data, metrics, and reporting to identify trends, improve engineering performance, and strengthen application and system health
• Leads team adoption of enterprise-authorized AI-assisted engineering practices and SDLC/TLM automation to improve delivery speed, quality, and operational outcomes, while setting expectations for human validation, secure handling of inputs/outputs, and consistent use of reusable patterns across teams.

• Formal training or certification on software engineering concepts and 5+ years applied experience. In addition, demonstrated coaching and mentoring experience 
• Experience managing, mentoring, and developing software engineering teams in a large corporate or financial services environment
• Demonstrated experience leading software delivery across architecture, application development, testing, deployment, release management, and operational stability
• Strong understanding of software engineering strategy, technical roadmaps, delivery governance, and organizational change
• Experience leading agile teams and managing program increments, delivery dependencies, backlogs, and continuous improvement
• Deep understanding of cloud architecture, virtualization, APIs, data models, event-driven solutions, and modern software frameworks
• Strong knowledge of SDLC practices, CI/CD, DevSecOps, application resiliency, security, and automated testing
• Experience establishing or improving engineering standards, release processes, operational controls, and production readiness practices
• Understanding of technology risk management, governance, regulatory expectations, and control processes
•  Experience leading responsible adoption of enterprise-authorized AI-assisted development and delivery tools across engineering teams, including defining ways of working (review/validation expectations), measuring outcomes, and ensuring secure handling of data.
• Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, resiliency/security implications, and governance 

High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.