Teams at NielsenIQ

Develop and maintain scalable data-processing systems using Oracle PL/SQL, Python, cloud technologies, and Unix scripting. Design and deploy enterprise AI and generative AI solutions, including LLM and RAG applications. Own solution architecture, optimize database performance, troubleshoot distributed AKS deployments, and implement maintainable code using modern engineering, CI/CD, Agile, and version-control practices.

Leads an engineering team delivering Java, Spring Boot, Python, REST, Flask, and Azure services. Responsibilities include people management, technical direction, sprint and PI planning, delivery ownership, code quality, CI/CD and DevSecOps maturity, production monitoring, incident response, root cause analysis, roadmap alignment, and engineer development. The manager also drives adoption of AI-assisted engineering tools and collaborates with Product, Architecture, and PMO.

Leads engineering teams and managers responsible for enterprise platforms built with Java, Spring Boot, Python, REST/Flask APIs, and Azure. Owns technical health, architecture governance, reliability, DevSecOps maturity, budgets, capacity planning, hiring, and delivery across multiple teams. Partners with Product, Architecture, PMO, and senior leadership on roadmaps and dependencies while developing engineering leaders and driving operational excellence, cost optimization, and continuous improvement.