AI Product Manager: Consumer Panel Data Platform

NielsenIQ; Bogotá; On-site; COP 90,000,000 - 150,000,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

Job summary

NielsenIQ is investing in AI to transform how we process, validate, and enhance our Consumer Panel data. You will own the product strategy and roadmap for AI-enabled capabilities across our input data platform that converts raw receipts and transactions into high-quality, panel-ready data used by leading consumer goods companies.

This role sits at the intersection of data science, AI/ML engineering, and large-scale data operations, accountable for improvements in data quality, throughput, and

Qualifications

• 3+ years of product management experience or equivalent in technical/data-intensive products.
• Experience shipping AI/ML-powered capabilities is strongly preferred.
• Fluent in AI/ML concepts, model training/evaluation, and automation patterns.
• Experience with large-scale data pipelines, data quality, or data ops.

Responsibilities

• Drive the AI Validation and Automation product roadmap for the Consumer Panel input data platform.
• Translate ambiguous business problems into defined AI/ML product requirements and metrics.
• Lead cross-functional initiatives end to end from opportunity sizing to adoption.
• Define AI model performance metrics in business terms and ensure accountability.
• Partner with data science on model priorities and tradeoffs between automation and human review.
• Drive standardization of coding/decoding approaches across markets and data sources.
• Communicate strategy and progress to senior stakeholders in Product, Tech, Operations, and Commercial.

Skills

AI/ML concepts

Data pipelines

Cross-functional leadership

Analytical mindset

English communication

Job description

NielsenIQ is investing in AI to transform how we process, validate, and enhance our Consumer Panel data. You will own the product strategy and roadmap for AI-enabled capabilities across our input data platform that converts raw receipts and transactions into high-quality, panel-ready data used by leading consumer goods companies.

This role sits at the intersection of data science, AI/ML engineering, and large-scale data operations, accountable for improvements in data quality, throughput, and