Product Manager – AI, Consumer Panel Data Platform

Focus Areas

Your work will center on three strategic pillars:

1. AI-Powered Data Validation & Quality - Define and deliver AI/ML capabilities that validate panel data at scale including anomaly and outlier detection automated root-cause analysis of data quality issues and intelligent quality assurance across the end-to-end data pipeline. You will move validation from manual reactive review toward proactive automated and explainable quality systems.

2. ML & AI Models for Product Coding & Decoding - Own the product direction for the ML and AI models behind our product coding and decoding services the classification item-description interpretation and barcode/product assignment capabilities that are foundational to the accuracy of our panel data output. You will partner deeply with data science to improve match rates coverage and precision and to standardize decoding approaches across markets.

3. AI Automation of the Platform - Identify and prioritize opportunities to automate platform workflows using AI including agentic and LLM-based approaches to reduce manual operational effort accelerate cycle times and enable the platform to scale. You will evaluate emerging AI techniques and translate them into production-grade automation with clear business value.

What Youll Do

• Drive the AI Validation and Automation product roadmap for the Consumer Panel input data platform aligning data science engineering operations and product leadership around a clear strategy and priorities.
• Translate ambiguous business problems into well-defined AI/ML product requirements success metrics and phased delivery plans.
• Lead cross-functional initiatives end to end from opportunity sizing and model feasibility through pilot rollout and adoption.
• Define how AI model performance is measured in business terms (accuracy match rate coverage cost per transaction time-to-data) and hold solutions accountable to those outcomes.
• Partner with data science on model development priorities evaluation frameworks and the tradeoffs between automation and human-in-the-loop review.
• Drive standardization of coding/decoding approaches across markets and data sources.
• Communicate strategy progress and results to senior stakeholders across Product Technology Operations and Commercial teams.
• Stay ahead of AI/ML and agentic-automation trends and pressure-test their applicability to real production data workflows.

What You Bring

• 3 years of product management experience (or equivalent) with demonstrated ownership of technical or data-intensive products; experience shipping AI/ML-powered capabilities strongly preferred.
• Working fluency in AI/ML concepts model training and evaluation classification LLMs and automation patterns and the judgment to know where AI adds value versus where it doesnt.
• Experience with large-scale data pipelines data quality or data operations environments.
• Strong analytical skills: comfortable defining metrics interrogating model performance and making evidence-based prioritization decisions.
• Proven ability to lead cross-functional teams and influence senior stakeholders without direct authority.
• Excellent written and verbal communication skills in English; able to make complex technical topics clear to non-technical audiences.
• Curiosity adaptability and a bias for action in a fast-evolving domain.

Why This Role Matters

The quality of NielsenIQs Consumer Panel output depends on how well we validate code and process raw consumer data and AI is redefining whats possible in each of those steps. Youll own the capabilities that determine data quality speed and scale for one of the industrys most important consumer data assets with direct impact on new products and the companys AI strategy.

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 NIQs 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 NIQs AI Safety Policies and Guiding Principles: NIQ

NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to 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 insightsdelivered with advanced analytics through state-of-the-art platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.

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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  Work :

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Employment Type :

Full-time