About the Position

We are seeking a Product Owner – Data Intelligence & AI to manage our data and AI capabilities, ensuring high data quality and AI integration across domains.

Responsibilities

Expand Data Sources & Market Coverage

Own the roadmap for onboarding new data sources and feeds, and for expanding market/geographic coverage.
Define source-onboarding standards – mapping, quality gates, and reconciliation – so new data lands consistently.
Prioritize expansion by value, readiness, and data quality, in partnership with domain Process Owners and Program Managers.
Coordinate market/data-source rollout waves – entry criteria, validation, and go/no-go inputs.

Own Data Quality & Cross-Domain Standards

Define and govern cross-domain data-quality standards, coverage targets, and the shared data model all domains depend on.
Build and run data-quality and reconciliation checks (SQL / data validation) across sources and domains.
Resolve cross-domain data conflicts and hold priority so domains stay aligned to one coherent data model.

Drive AI Integration & Intelligence

Shape AI/GenAI use cases from real operational problems – research, enrichment, auto-matching, translation, and coding recommendations.
Define confidence-based routing and human-in-the-loop rules so high-confidence outputs flow automatically while low-confidence cases escalate for review.
Partner with Data Science and Engineering to validate AI concepts through POCs and pilots, with clear success and continuation criteria.
Ensure AI features meet governance, auditability, and operational-quality standards for enterprise deployment.

Write Stories, Test Cases & Validate (Technical Core)

Translate data and AI needs into build-ready user stories and acceptance criteria.
Author and validate test cases for data pipelines, enrichment, and AI outputs – including data-quality, drift, and edge-case scenarios.
Verify results directly with SQL and data checks; own UAT sign-off for data and AI features.
Maintain traceability from data/AI need → story → test → release.

Across Domains

Hold cross-stream backlog priority and align domain Process Owners to shared data and AI standards.
Facilitate trade-off decisions across domains, Solution Owners, and Program Managers on release and rollout planning.
Provide leadership visibility on coverage, data quality, and AI adoption with clear, measurable outcomes.

Requirements

Core Skills

SQL
Data validation
Data quality
AI
User stories
Test cases

Secondary Skills

Data modeling
Systems thinking
Agile
Data governance
Lean Six Sigma

We Offer

Flexible working environment
Volunteer time off
LinkedIn Learning
Employee-Assistance-Program (EAP)

About the Company

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

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 NIQ Diversity and Inclusion page.

NIQ’s AI Safety Policies and Guiding Principles

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: NIQ AI Safety Policies

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Posted by

Sowbarnika S

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Product Owner – Data Intelligence & AI

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