Expert AI - EU RD

NIQ for Digital Commerce; Chennai District; Remote; INR 8,679,000 - 11,572,000; Full time

Job summary

NIQ is seeking an Reference Data Operations Expert to ensure high-quality, timely data delivery across EU markets with an AI-first, continuous-improvement mindset. The role spans operational execution, governance and collaboration with Technology, Transformation and operations teams.

You will lead AI-enabled validation and process improvements, ensuring strong human governance and effective stakeholder communication while maintaining production lifecycle awareness in a global, virtual

Qualifications

• 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.

Responsibilities

• Execute and support high-quality Reference Data operations across EU markets, ensuring delivery meets quality, timeliness and customer expectations.
• Partner with operational teams to resolve process and technical challenges, ensuring new tools and AI-enabled solutions are understood and adopted.
• Identify repetitive, manual or high-risk activities and recommend AI, automation and process-improvement opportunities to enhance efficiency, scalability and quality.
• Lead error-management and Root Cause Analysis activities, providing clear issue analysis and preventive actions.
• Strengthen preventive quality controls through data analysis, trend identification, AI-supported validations and targeted review mechanisms.
• Deliver accurate project updates and manage operational queries efficiently across local, regional and offshore teams.

Skills

AI & analytics interest

Operations/Data ops

Stakeholder management

English fluency

Analytical skills

Root cause analysis

Job description

Job Description:

Job Description

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.

Qualifications

• 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.

Additional Information

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 streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence.All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws.We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact.To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

Career Site Team: Operations

Requirements: