AI Product Manager for Consumer Panel Data Platform

NielsenIQ; Washington (District of Columbia); On-site; USD 120,000 - 190,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Job summary

NielsenIQ seeks a Product Manager to own the AI-enabled data platform, turning raw receipts and transactions into high-quality, panel-ready data for leading consumer goods brands.

You will shape AI strategy across data science, ML engineering, and operations, delivering measurable improvements in data quality, throughput, and cost. This role emphasizes scalable automation and cross-market standardization.

Qualifications

• 3+ years of product management experience with ownership of technical or data-intensive products.
• Working fluency in AI/ML concepts — model training, evaluation, classification, LLMs, and automation patterns.
• Experience with large-scale data pipelines, data quality, or data operations environments.
• Strong analytical skills: defining metrics, evaluating model performance, and prioritizing decisions.
• Proven ability to lead cross-functional teams and influence senior stakeholders.
• Excellent written and verbal communication skills in English; able to simplify complex topics.
• Curiosity, adaptability, and a bias for action in a fast-evolving domain.

Responsibilities

• Drive the AI Validation and Automation product roadmap for the Consumer Panel input data platform, aligning data science, engineering, operations, and product leadership around 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 and hold solutions to those outcomes.
• Partner with data science on model development priorities, evaluation frameworks, and automation tradeoffs.
• 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 assess their applicability to production data workflows.

Job description

NielsenIQ seeks a Product Manager to own the AI-enabled data platform, turning raw receipts and transactions into high-quality, panel-ready data for leading consumer goods brands.

You will shape AI strategy across data science, ML engineering, and operations, delivering measurable improvements in data quality, throughput, and cost. This role emphasizes scalable automation and cross-market standardization.