About the Role
We are looking for a data-savvy Product Owner to own the horizontal data and AI capability that powers our reference/master data platform across all data domains. Where domain Process Owners own their individual processes, you will own what cuts across all of them: bringing new data sources and markets onto the platform, raising data quality and coverage, and embedding AI-driven enrichment, matching, and decisioning into how data is created and maintained.
As the Lead, you will set cross-domain data standards and hold cross-stream backlog priority so domain teams stay aligned to a single, coherent data model. This is a hands-on, technical role – fluent in SQL and data validation, comfortable shaping AI use cases from real operational problems, and able to translate them into build-ready user stories and test cases.
Key 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.
- 8+ years in data product, data/analytics, or data-quality roles, with cross-functional leadership or lead-PO experience.
- Strong, hands-on SQL and data-validation skills; able to profile, reconcile, and verify data independently at scale.
- Proven ability to write user stories, acceptance criteria, and test cases, and to run Agile ceremonies.
- Experience shaping AI/GenAI/automation use cases, including human-in-the-loop workflows, confidence routing, and exception handling.
- Strong data modelling and systems thinking across sources, process, data, and governance.
- Excellent stakeholder leadership – able to align multiple Process Owners, Solution Owners, and Program Managers without direct authority.
- Domain exposure to reference/master data, or large-scale data-quality environments.
- Experience onboarding new data sources / geographies and running data-migration or convergence validation.
- Light scripting (e.g., Python) for data checks; familiarity with data-quality frameworks and MLOps concepts.
- Tools: SQL, Jira, Confluence, Power BI; awareness of orchestration and process-mining tools.
- Agile / product, data governance, or Lean Six Sigma certification.
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
