Additionalinformation

Additional Information

Why Join Us

Join a team that is transforming how retailers and manufacturers make assortment decisions through advanced analytics, forecasting, and AI-powered insights.

In this role, you will:

• Contribute to the strategy and roadmap for products used by leading global retailers and manufacturers.

• Work directly with Data Scientists, Engineers, Designers, and commercial teams to bring innovative solutions to market.

• Influence the future of AI-enabled decision support tools within a rapidly evolving product portfolio.

• Solve complex business problems using large-scale consumer and retail datasets.

• Make a measurable impact on customer growth, efficiency, and return on investment.

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

Companydescription

Company Description

Jobdescription

Job 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.

Qualifications

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.

• 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.