Product Manager – AI, Consumer Panel Data Platform
#R26_0005404|CO #BogotaPlease apply with your CV in EnglishAbout the RoleNielsenIQ 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 Focus AreasYour 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 DoDrive 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.C...