AI Product Manager — Data Validation & Automation

Nielseniq

Bogotá

Vor Ort

COP 120.000.000 - 180.000.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

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Zusammenfassung

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.

Qualifikationen

  • 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.

Aufgaben

  • 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.

Kenntnisse

Product management
AI/ML concepts
Data pipelines
Analytical skills
Cross-functional leadership
English communication
Curiosity/adaptability

Jobbeschreibung

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.

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