Product Manager - AI-Enabled Assortment Analytics

NielsenIQ; Norte; On-site; COP 194,401,000 - 324,002,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Job summary

NielsenIQ in Colombia is seeking a Product Manager for Assortment Analytics & Activation to define and deliver analytics solutions that help retailers and manufacturers optimize assortment decisions and boost category performance.

You will collaborate with Data Science, Engineering, UX, Commercial and Operations to prioritize a roadmap and deliver AI-enabled innovations for a global client base. This role emphasizes backlog ownership, cross-functional leadership, and measurable business impact.

Qualifications

• Own and prioritize a product backlog as part of the larger assortment portfolio.
• Gather and synthesize customer feedback, market insights, usage analytics, and competitive intelligence to identify unmet needs.
• Define product requirements, user stories, and acceptance criteria for analytical capabilities including forecasting and optimization.
• Work with Data Scientists and Software Engineers and understand data pipelines, ML workflows, APIs and cloud analytics platforms.
• Evaluate trade-offs among functionality, performance, usability, accuracy, and delivery timelines to maximize value.
• Lead product planning and execution in a scaled Agile development environment.
• Define and monitor product success metrics including adoption, satisfaction and business impact.
• Lead cross-functional decision-making across Product, Engineering, Data Science, Commercial, Operations, and Customer Success teams for delivery and adoption.
• Support release planning and go-to-market activities with Commercial, Marketing and Customer Success teams to drive adoption.

Responsibilities

• Own and prioritize a product backlog as part of the larger assortment portfolio, ensuring investments deliver measurable customer value while balancing technical scalability, data quality, and business objectives.
• Gather and synthesize customer feedback, market insights, usage analytics, and competitive intelligence to identify unmet needs and inform product investment decisions.
• Define product requirements, user stories, and acceptance criteria for advanced analytical capabilities including forecasting, optimization, simulation, recommendation engines, and decision-support tools.
• Work effectively with Data Scientists and Software Engineers and understand data pipelines, machine learning workflows, APIs, and modern cloud-based analytics platforms.
• Evaluate trade-offs among functionality, performance, usability, accuracy, technical complexity, and delivery timelines to maximize client and business value.
• Lead product planning and execution within a scaled Agile development environment, participating in quarterly planning, ongoing backlog refinement, sprint reviews, and continuous improvement activities.
• Define and monitor product success metrics, including user adoption, customer satisfaction and commercial impact to guide prioritization and investment decisions.
• Lead cross-functional decision-making across Product, Engineering, Data Science, Commercial, Operations, and Customer Success teams to ensure successful product delivery and adoption.
• Support release planning and go-to-market activities, partnering with Commercial, Marketing, and Customer Success teams to drive awareness and client adoption.

Skills

Backlog prioritization

Stakeholder collaboration

Define product requirements

Data Scientist collaboration

Agile development

Product success metrics

Cross-functional decision making

Go-to-market support

Job description

NielsenIQ in Colombia is seeking a Product Manager for Assortment Analytics & Activation to define and deliver analytics solutions that help retailers and manufacturers optimize assortment decisions and boost category performance.

You will collaborate with Data Science, Engineering, UX, Commercial and Operations to prioritize a roadmap and deliver AI-enabled innovations for a global client base. This role emphasizes backlog ownership, cross-functional leadership, and measurable business impact.