Expert (AI) - EU RD

NielsenIQ; Chennai District; Sur place; INR 1 200 000 - 1 800 000; Plein temps

Avantages offerts par ce poste

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Résumé du poste

NielsenIQ in Chennai region seeks a Reference Data Operations Expert to ensure high-quality, timely reference data delivery across EU markets. The role combines operational execution, quality governance and stakeholder collaboration to support end-to-end delivery—from input through to client delivery.

The position emphasizes an AI-first, continuous-improvement mindset, identifying where AI, automation and analytics can reduce manual effort and strengthen quality checks while improving

Qualifications

• 5-8 years of experience in Operations, Quality Management, Data Operations and/or client-facing roles.
• Experience identifying process improvements, automation opportunities or tech-enabled changes.
• Strong interest in applying AI, analytics and automation to improve performance.
• Fluent written and spoken English.
• Strong analytical and problem-solving skills with data interpretation.
• Knowledge of KPIs, operational monitoring and root-cause analysis.
• Ability to explain technical concepts to stakeholders with varied expertise.
• Process-oriented mindset and experience improving processes.

Responsabilités

• Execute and support high-quality Reference Data operations across EU markets, ensuring delivery meets quality and timelines.
• Collaborate with operational teams to resolve challenges and adopt AI-enabled tools.
• Identify repetitive, manual or high-risk activities and recommend AI and automation opportunities.
• Support testing and refinement of AI-enabled validation and workflow solutions.
• Lead error-management and root cause analysis with corrective actions and stakeholder updates.
• Strengthen preventive quality controls through data analysis and trend monitoring.
• Maintain effective communication with Client Ops and cross-functional stakeholders.
• Define, monitor and document SOPs, governance controls and exception tracking.
• Ensure reference data coding accuracy and timely resolution of data concerns.
• Coordinate production-life-cycle activities from input through to client delivery.
• Deliver work within timelines, coordinating with regional and offshore teams.

Connaissances

Operations experience

Quality management

Data operations

AI and automation

English fluency

Analytical skills

Root-cause analysis

Project management

Outils

AI tools

Description du poste

The Reference Data Operations Expert is responsible for ensuring high-quality, timely and accurate Reference Data delivery across EU markets. The role combines operational execution, quality governance, stakeholder collaboration, process improvement and technical expertise to support end-to-end delivery-from input through to client delivery.

The role brings an AI-first, continuous-improvement mindset, identifying where AI, automation, analytics and intelligent controls can reduce manual effort, strengthen preventive quality checks and improve operational outcomes.

Key Responsibilities

• Execute and support high-quality Reference Data operations across EU markets, ensuring delivery meets agreed quality, timeliness and customer expectations.
• Partner with operational teams to resolve process and technical challenges, ensuring new tools, system enhancements and AI-enabled solutions are understood and effectively adopted.
• Identify repetitive, manual or high-risk activities and recommend AI, automation and process-improvement opportunities to enhance efficiency, scalability and quality.
• Support the testing, implementation and continuous refinement of AI-enabled validation, workflow and decision-support solutions in partnership with Technology, Transformation and operational teams.
• Lead error-management and Root Cause Analysis activities, providing clear issue analysis, corrective and preventive actions, and timely stakeholder communication.
• Strengthen preventive quality controls through data analysis, trend identification, AI-supported validations and targeted review mechanisms.
• Maintain effective communication with Client Ops teams and cross-functional stakeholders; provide accurate project updates and manage operational queries efficiently.
• Define, monitor and document process execution, including standard operating procedures, governance controls, exception tracking and process documentation.
• Ensure the accuracy and consistency of Reference Data coding is of high standards; investigate data-related concerns raised by clients and internal teams and support timely resolution.
• Execute Reference Data operations and project activities with a clear understanding of the production lifecycle-from retailer/manufacturer input, coding and validation through to final client delivery.
• Deliver assigned work accurately within agreed timelines, coordinating with local, regional and offshore teams to resolve data inquiries and operational challenges.
• Support standardization and continuous improvement across methods, applications, reporting and operational workflows.
• Provide technical and process expertise across Reference Data, supporting Western European markets in implementing projects, new capabilities and operational changes.
• Prepare, maintain and interpret KPI reporting covering Quality Escapes, data accuracy, delivery performance, productivity and adherence to operational commitments.
• Translate operational data into actionable insights, highlighting risks, trends and opportunities for improvement.
• Support colleagues through knowledge sharing, process guidance and training on quality standards, new tools and responsible use of AI-enabled solutions.
• Collaborate effectively in a virtual, multicultural environment across markets, functions and stakeholder groups.

• 5-8 years of experience in Operations, Quality Management, Data Operations and/or client-facing roles.
• Experience identifying and implementing process improvements, automation opportunities or technology-enabled operational enhancements.
• Strong interest in applying AI, analytics and automation to improve operational performance, quality controls and customer outcomes.
• Ability to critically review AI-generated recommendations, validate outputs against business rules and ensure appropriate human governance.
• Fluent written and spoken English.
• Strong analytical and problem-solving skills, with the ability to interpret data, identify trends and translate insights into practical actions.
• Strong understanding of KPIs, operational monitoring, quality-performance management and root-cause analysis.
• Ability to explain technical concepts, process changes and AI-enabled solutions to stakeholders with varied levels of expertise.
• Process-oriented mindset with experience defining, refining and improving processes to strengthen quality, efficiency and on-time delivery.
• Strong organizational, presentation and stakeholder-management skills.
• Knowledge of process-improvement methodologies and project-management practices.
• Ability to scope project requirements, manage stakeholder expectations and deliver against agreed objectives.

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)
• NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help