Product Manager

Description

The Product Manager sits on the Assortment Analytics & Activation team, which builds analytics products that help retailers and manufacturers make better assortment choices, improve category results and show measurable returns.

You will work with Data Science, Engineering, UX, Commercial and Operations to decide what gets built, as part of a wider portfolio roadmap, and support AI-enabled features in assortment tools.

The products are used by leading global retailers and manufacturers, so you will help shape their strategy and roadmap.

You will work on large retail and consumer datasets to solve complex business problems and influence the future of AI-enabled decision support tools.

The company is a consumer intelligence business formed when NIQ combined with GfK in 2023. It is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world's population.

Responsibilities

• Own and rank the product backlog for your part of the assortment portfolio, balancing customer value, technical scalability, data quality and business goals.
• Collect and combine customer feedback, market research, usage data and competitor information to find unmet needs and guide investment.
• Write product requirements, user stories and acceptance criteria for forecasting, optimization, simulation, recommendation engines and decision-support tools.
• Weigh functionality, performance, usability, accuracy, technical complexity and timing to get the most value for clients and the business.
• Lead planning and delivery in a scaled Agile setup, including quarterly planning, backlog refinement, sprint reviews and continuous improvement.
• Define and track success measures such as user adoption, customer satisfaction and commercial impact, and use them to set priorities.
• Lead decisions across Product, Engineering, Data Science, Commercial, Operations and Customer Success so releases are delivered and adopted.
• Plan releases and go-to-market work with Commercial, Marketing and Customer Success to build awareness and client uptake.

Requirements

• Understand data pipelines, machine learning workflows, APIs and modern cloud-based analytics platforms.
• Work well with Data Scientists and Software Engineers.

Conditions

The company may use AI tools at several recruitment stages, including résumé screening, candidate assessments, interview scheduling, job matching, communication support and some administrative tasks, but humans make all final hiring decisions.

Requests for accommodations or human review of AI use go to your local HR representative.

Benefits

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