Product Manager
Product Manager on NielsenIQ's Assortment Analytics & Activation team, defining and delivering analytics products that help retailers and manufacturers optimize assortment decisions. Works with Data Science, Engineering, UX, and Commercial teams in Agile to prioritize the backlog and build forecasting and AI-enabled decision-support tools.
- Compensation
- Not disclosed
- Location
- Bogota, DC, co
- Work setup
- Remote
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- Not specified
- Category
- Product
- Posted
Skills
Must have
- Own and prioritize a product backlog within the assortment portfolio, balancing customer value, scalability, data quality, and business objectives
- Gather and synthesize customer feedback, market insights, usage analytics, and competitive intelligence
- Define product requirements, user stories, and acceptance criteria for advanced analytics (forecasting, optimization, simulation, recommendation engines)
- Understand data pipelines, machine learning workflows, APIs, and cloud-based analytics platforms
- Lead product planning in a scaled Agile environment (quarterly planning, backlog refinement, sprint reviews)
- Define and monitor product success metrics including adoption, satisfaction, and commercial impact
- Lead cross-functional decision-making across Product, Engineering, Data Science, Commercial, Operations, and Customer Success
- Support release planning and go-to-market activities with Commercial, Marketing, and Customer Success teams
Full description
Product Manager, Assortment Analytics & Activation
Job Description
As a Product Manager on the Assortment Analytics & Activation team, you will define and deliver innovative analytics solutions that help retailers and manufacturers optimize assortment decisions, improve category performance, and drive measurable business results. You will partner with Data Science, Engineering, UX, Commercial and Operations teams to prioritize and deliver product innovations as part of a larger portfolio roadmap. You will collaborate with product team members and cross-functional teams across regions to drive roadmap execution, and support AI-enabled innovation in assortment solutions.
Key Role 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.
- Key Role 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.