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NielsenIQ

Global provider of consumer purchasing data

Senior Product Manager - Store Intelligence

Technical Product ManagementConfirmed live in the last 24 hours
Full-timeZagreb, Croatia€70k - €85k /yrRemote

About the Job

Requirements

  • Seven or more years of product management experience, including ownership of complex data, analytics, platform, or location-based products.
  • Demonstrated experience building analytical or location intelligence products on top of reference data, including defining analytical use cases, integrating via APIs and platforms, and applying generative AI to data products; working familiarity with store and location reference data sourcing, harmonization, and quality.
  • Ability to lead through influence, align diverse stakeholders, manage trade-offs, and guide cross-functional teams in a dynamic, fast-paced environment.
  • Strong understanding of data products, APIs, analytics, generative AI and large language model-based applications, geospatial data, data science, software development processes, and relevant NIQ platforms and operational workflows.
  • Ability to think strategically, analyze market trends, and translate insights into actionable product plans.
  • Ability to convey complex concepts to technical and non-technical stakeholders.
  • Demonstrated commitment to understanding customer needs and delivering solutions that meet them.

Responsibilities

  • Contribute to the Store Intelligence product vision and strategy set by the Product Director, and own the vision and strategy for the location-based analytical product line, aligned with company goals, customer needs, and market trends.
  • Ensure the analytical product line is relevant and delivers value to key client segments, including manufacturers, retailers, distributors, agentic commerce, and digital platform providers, in partnership with the Trade Dimensions product line that supplies the underlying store reference data.
  • Define and communicate the roadmap for the analytical product line, aligning it with the overall Store Intelligence roadmap, business objectives, and customer needs.
  • Lead cross-functional product squads through influence, partnering with data scientists, engineers, designers, operations, and commercial teams.
  • Provide product leadership, coaching, and subject-matter guidance to colleagues and delivery partners, and contribute to continuous improvement of product management practices.
  • Analyze the location intelligence, retail analytics, and generative AI markets to identify trends, client needs, portfolio gaps, growth opportunities, and competitive offerings.
  • Engage with customers, market teams, sales, and delivery stakeholders to understand how Store Intelligence analytics are used, gather feedback, and convert insights into product improvements and new offerings.
  • Own the end-to-end product lifecycle for assigned Store Intelligence analytical capabilities, including location analytics, generative AI features, APIs, and partner or platform integrations, from discovery and business case through requirements, delivery, launch, adoption, and ongoing optimization.
  • Maintain and prioritize the product backlog; define requirements and acceptance criteria for analytical methods, user experience, APIs, performance, and delivery; and partner with engineering, data science, and design teams to deliver capabilities on time.
  • Drive the use of generative AI, data, and analytics within products, including natural-language querying, automated insights, and agentic workflows, and in product decision-making; leverage usage insights to iterate on products and enhance user experiences.
  • Establish and monitor key performance indicators, including adoption, usage, API consumption, insight accuracy, time-to-value, revenue, and customer satisfaction, to measure product success and drive continuous improvement.
  • Communicate product priorities, trade-offs, plans, risks, and results to internal stakeholders, senior leadership, and external partners.
  • Collaborate with sales, marketing, market teams, and client delivery to shape packaging and positioning, support go-to-market plans, and enable successful launches and adoption of Store Intelligence analytical offerings.

About the Company

NielsenIQ

Global provider of consumer purchasing data

NielsenIQ collects and analyzes consumer purchasing data to help retailers and brands understand market behavior. It tracks what people buy, when, and where, using this data to measure market share and purchasing trends across categories. The product works by aggregating point-of-sale and other consumer data, then turning it into actionable insights and benchmarks that clients can use to optimize pricing, assortment, promotions, and marketing. NielsenIQ differentiates itself through its long history (dating back to 1923) and a broad global footprint (operating in over 100 countries), plus its expanded capabilities after merging with GfK in 2023 to strengthen data on technology and durable goods. Its goal is to provide objective, data-driven guidance that helps retailers and brands make informed decisions and improve performance.

Company size
10,001+
Company stage
IPO
Headquarters
Chicago, IL
Founded
1923

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