Employer description & source details
Lead software engineering delivery across multiple "Digital OnLine" programs and products. Define engineering strategy, architecture governance, and delivery frameworks. Manage large delivery teams including developers, QA s Drive Agile, DevOps, and CI/CD best practices across programs. Contribute to engineering strategy, architecture governance, and delivery frameworks. Ensure delivery timelines, quality standards, and budget adherence. Drive adoption of AI-assisted software engineering tools to improve productivity and quality. Enable AI-driven automation in coding, testing, documentation, monitoring, and deployment. Define governance, security, and compliance standards for AI-enabled development. Partner with executive leadership, clients, and business stakeholders to define strategic roadmaps. Present delivery metrics, engineering health, and transformation initiatives to leadership teams. Build strong customer relationships and drive customer satisfaction. Lead digital transformation initiatives leveraging cloud, AI, automation, and analytics. Establish engineering KPIs, operational excellence frameworks, and continuous improvement programs. Mentor engineering leaders and build high-performing teams. Bachelor’s or master’s degree in computer science, Engineering, or related field. 15+ years of experience in software engineering and delivery management. 5+ years in leadership roles managing enterprise-scale delivery programs. Enterprise architecture and scalable systems Experience managing global distributed teams. Strong communication, leadership, and stakeholder management skills. Experience with Generative AI implementation in enterprise environments. Knowledge of AI governance, responsible AI, and data security practices. Exposure to automation frameworks, platf
Extracted skills: javascript, typescript, python, java, sql, aws, azure, gcp, docker, kubernetes, security