AI Product Manager — Data Validation & Automation

Nielseniq; Bogotá; Presencial; COP 120.000.000 - 180.000.000; Jornada completa

Descripción de la vacante

NIQ is building AI-powered data validation and automation for its Consumer Panel platform. You will own the AI/ML product roadmap, translating business problems into measurable requirements and working with data science to improve model performance and deployment across markets.

You will lead cross-functional initiatives from opportunity sizing to rollout, define success metrics, and communicate progress to senior stakeholders across product, technology, operations, and commercial teams.

Formación

• 3+ years of product management experience with ownership of technical or data-intensive products.
• Experience shipping AI/ML-powered capabilities is strongly preferred.
• Fluent in AI/ML concepts, model training/evaluation, classification, and automation patterns.
• Experience with large-scale data pipelines and data quality environments.
• Strong analytical skills with metrics-driven decision making.

Responsabilidades

• Drive the AI Validation and Automation product roadmap for the consumer panel input data platform.
• Translate ambiguous problems into well-defined AI/ML requirements and success metrics.
• Lead cross-functional initiatives end to end from opportunity sizing to rollout and adoption.
• Define AI model performance metrics in business terms and ensure accountability.
• Partner with data science on model development priorities and tradeoffs between automation and human-in-the-loop.
• Drive standardization of coding/decoding approaches across markets.

Conocimientos

Product management

AI/ML concepts

Data pipelines

Analytical skills

Cross-functional leadership

English communication

Curiosity/adaptability

Descripción del empleo

NIQ is building AI-powered data validation and automation for its Consumer Panel platform. You will own the AI/ML product roadmap, translating business problems into measurable requirements and working with data science to improve model performance and deployment across markets.

You will lead cross-functional initiatives from opportunity sizing to rollout, define success metrics, and communicate progress to senior stakeholders across product, technology, operations, and commercial teams.