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 You'll 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 doesn't. 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 NielsenIQ's Consumer Panel output depends on how well we validate, code, and process raw consumer data — and AI is redefining what's possible in each of those steps. You'll own the capabilities that determine data quality, speed, and scale for one of the industry's most important consumer data assets, with direct impact on new products and the company's AI strategy. 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: 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 Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook 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 #R26_0005404|CO #Bogota Please apply with your CV in English About the Role NielsenIQ is investing in AI to transform how we process, validate, and enhance our Consumer Panel data. As a Product Manager on our AI-focused team, you will own the product strategy and roadmap for AI-enabled capabilities across our input data platform — the systems that take raw receipts and transactions and convert them into high-quality, panel-ready data used by the world's leading consumer goods companies. This is a role at the intersection of data science, AI/ML engineering, and large-scale data operations. You will define where and how AI is applied across the platform, drive initiatives from concept through production, and be accountable for measurable improvements in data quality, throughput, and cost efficiency