Jobs at NielsenIQ

Lead global market research and business projects from initiation through delivery. Develop schedules, budgets, risk registers, resource plans, governance reports, and stakeholder communications. Manage concurrent projects, monitor KPIs and dependencies, facilitate executive updates, and ensure quality and timely completion. Apply AI tools such as Copilot, ChatGPT, and Gemini to automate workflows, improve reporting, generate insights, and enhance productivity. Drive process improvements, standardize project management practices, and coordinate cross-functional teams across global locations.

The Data Engineer role supports NIQ’s consumer intelligence and analytics environment. The provided description contains only company information, benefits, diversity commitments, and recruitment-process disclosures; it does not specify day-to-day responsibilities, required qualifications, technologies, compensation, travel, or clearance requirements.

Administer Workday security across HCM and adjacent modules, including role assignments, access provisioning, security configuration, troubleshooting, access reviews, and incident resolution. Maintain governance documentation, approval workflows, and audit evidence while supporting segregation of duties and control effectiveness. Participate in releases, testing, migrations, and security-related projects, partnering with technical, functional, and audit stakeholders to improve security operations and documentation.

Leads enterprise-wide program and portfolio management across technology, business transformation, and operational initiatives. Oversees program managers, governance, strategic planning, budgets, risks, vendors, and executive communications. Drives modernization, process optimization, organizational change, and measurable business outcomes across global teams and functions.

Create, retouch, and manipulate product images and digital assets for client initiatives, virtual shopping shelves, and respondent surveys. Manage high-volume production across multiple projects and deadlines while maintaining strong visual quality, layout, accuracy, and attention to detail. Collaborate within a fast-paced Creative Solutions team and work independently with minimal direction.

Lead enterprise architecture for NIQ’s cloud and on-premises platforms, with a focus on production-grade AI, Generative AI, and agentic AI solutions. Define reference architectures, secure agent patterns, governance standards, evaluation criteria, and technology roadmaps. Partner with engineering, product, security, privacy, legal, and data governance teams to deliver scalable, observable, compliant systems. Assess platforms and emerging technologies, lead proofs of concept and migrations, and provide architecture governance, coaching, and technical leadership.

Leads a software engineering team delivering Java microservices and Snowflake-powered data platform capabilities. Owns roadmap execution, technical direction, engineering quality, risk management, stakeholder alignment, and Agile delivery. Manages hiring, mentoring, performance, succession planning, and talent development while fostering an inclusive, accountable, and high-performing culture. Requires strong SQL, Java, Spring Boot, microservices, distributed systems, cloud application, and people leadership experience.

Leads an engineering team delivering scalable full-stack and AI-enabled products. Responsibilities include setting architecture and coding standards, improving Java APIs and Angular applications, guiding AI solution development, enforcing DevSecOps and testing practices, managing technical roadmaps, mentoring engineers, overseeing delivery, optimizing cost and performance, and evaluating emerging technologies. The role is approximately 50% leadership and 50% hands-on engineering, including architecture, coding, design reviews, and technical problem-solving.

Senior Software Engineer responsible for translating backlog items into software solutions within an Agile delivery team. The role involves mentoring junior engineers, participating in and leading Sprint events, collaborating on shared delivery goals, conducting code reviews, improving code quality, supporting critical application incidents, and contributing to software architecture and product lifecycle activities.

Develop and maintain scalable factory systems using Oracle PL/SQL, Python, Java, and Unix shell scripting. Design high-level solutions, data-processing engines, and enterprise AI and generative AI solutions. Perform database configuration, monitoring, tuning, troubleshooting, and cross-platform development. Collaborate in Agile/Scrum environments using CI/CD, GitHub, Atlassian tools, Azure, Docker, and AKS while evaluating emerging technologies.

Develop and apply machine learning innovations, primarily for NLP, to large-scale business problems. Conduct feasibility studies, analyze data, evaluate real-world applicability, and build scalable, maintainable, reproducible ML solutions. Collaborate on deployment and integration, communicate findings to technical and nontechnical stakeholders, understand business requirements, and contribute to team development and collaboration.

Leads a software engineering team while remaining hands-on with backend architecture, coding, design reviews, testing, deployment, and technical problem-solving. Develops scalable Java microservices, guides system architecture, oversees product feature lifecycles, and ensures application performance, uptime, security, and code quality. The role also manages talent development, stakeholder relationships, agile planning, delivery oversight, and adoption of AI-assisted development tools.

Design, build, and maintain automated test frameworks and suites for UI, API, and backend layers using Python/Java, Playwright/Selenium, TestNG, and SQL. Execute manual and automated tests, integrate tests into CI/CD pipelines, deploy via DevOps tools, and collaborate with cross-functional Agile teams to improve quality and monitoring.

Design, build and maintain scalable automation frameworks and test suites for cloud/big-data systems. Implement automated and manual tests across UI, services, APIs and performance; deploy via CI/CD; collaborate with cross-functional teams and provide technical guidance.

Research, evaluate, and apply state-of-the-art ML (primarily NLP) techniques to large-scale business problems. Perform feasibility studies, EDA, and develop production-quality, scalable, reproducible ML solutions. Communicate results to stakeholders, collaborate on deployment, maintain high code and data quality, and contribute to team building and cross-functional integration.