Jobs at NielsenIQ

Design, develop, and maintain scalable automated test frameworks for web, API, and microservices. Create and execute automated and manual test suites (functional, integration, regression, end-to-end), integrate tests into CI/CD pipelines, leverage Agentic AI for test generation and defect analysis, monitor quality metrics, mentor junior QA engineers, and collaborate with engineers and product teams to ensure reliable, high-performance releases.

Lead Reference Data Operations team to deliver high-quality client database services. Manage quality performance monitoring, reporting, and continuous improvement programs. Serve as primary client-facing contact for operational queries, coordinate cross-functional projects, estimate workloads, and coach team members while monitoring KPIs and resolving escalations.

Partner with business teams to identify workflow inefficiencies and build production-grade AI tools (LLMs, Copilots, agentic workflows). Rapidly prototype, deploy, and scale solutions across cloud environments, ensure reliability, governance, and adoption, and create reusable AI frameworks while mentoring teams.

Lead and oversee a team of program managers to deliver large, complex, cross-functional technology and business transformation programs. Drive portfolio governance, strategic planning, budgeting, stakeholder engagement, risk mitigation, and operational readiness while fostering talent development and Agile delivery practices to achieve measurable business outcomes.

Design, develop, and fine-tune machine learning and generative AI models; conduct research on generative AI advances; collaborate with stakeholders in Agile; document experiments and maintain reproducibility; deploy models via CI/CD pipelines.

Lead discovery and redesign of current-state business processes, identify AI/automation opportunities, validate via POCs/pilots, design future-state operating models, define KPIs and governance, and deliver structured, delivery-ready inputs to Product and Technology teams.

Oversee and develop team members, ensure compliance with processes, enhance operational excellence, and engage stakeholders to resolve issues.

Design, build, test, and deploy scalable backend services and RESTful APIs in Python/FastAPI. Maintain PostgreSQL databases and CI/CD workflows, implement logging/observability, troubleshoot production issues, participate in code and architectural reviews, and leverage AI developer tools to improve productivity while collaborating with cross-functional teams.

Lead a team delivering high-quality retailer data for US markets: validate, troubleshoot, document processes, drive automation (R/Python/Excel Macros), coordinate with stakeholders, monitor KPIs, and manage projects to improve data quality and on-time delivery.

Design, build, and optimize cloud-native AI applications using Python and distributed systems. Develop backend services, APIs, CI/CD pipelines, and Generative AI solutions (LLMs/SLMs), implement data validation and business-rule engines, integrate vector search/RAG, fine-tune models, and monitor performance with observability tools while collaborating across teams.

Build and deploy production-grade generative AI systems (LangChain, LangGraph, MCP) and architect modular Angular front-ends with microfrontend patterns. Develop Python AI pipelines, deploy on Azure (AKS, Functions, App Services), integrate observability tools, maintain CI/CD, and collaborate cross-functionally to deliver scalable enterprise solutions.