Senior Product Manager - Store Intelligence

NielsenIQ

About The Position

NIQ is seeking an experienced, outcome-oriented Senior Product Manager to drive the design and delivery of analytical products within its Store Intelligence portfolio. The portfolio includes location intelligence, Gen AI-enabled, and API/platform capabilities built on NIQ retail store reference data. The role translates customer and business needs into a product roadmap and prioritized requirements for the location-based analytical product line, contributing to the overall Store Intelligence strategy. It partners with engineering, data science, design, operations, and commercial teams to deliver scalable, data-driven solutions that are continuously refreshed and available to clients. The role owns the vision and strategy for the location-based analytical product line, aligned with the Store Intelligence strategy set by the Product Director, company goals, customer needs, and market trends. It oversees the end-to-end lifecycle of assigned analytical capabilities, from discovery and business case through requirements, delivery, launch, adoption, and ongoing optimization. The Senior Product Manager also uses product data and Gen AI to improve offerings, measures product outcomes, and communicates plans and results to stakeholders and partners.

Requirements

At least 7 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 reference data, including defining analytical use cases, integrating through APIs and platforms, and applying Gen AI to data products.
Working familiarity with store and location reference data sourcing, harmonization, and quality.
Proven 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, Gen AI and LLM-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.
Excellent communication and presentation skills, with the ability to explain complex concepts to technical and non-technical stakeholders.
Demonstrated commitment to understanding stated and unstated customer needs and delivering solutions that exceed expectations.

Responsibilities

Contribute to the Store Intelligence product vision and strategy, and own the vision and strategy for the location-based analytical product line.
Ensure the analytical product line delivers value to manufacturers, retailers, distributors, Agentic Commerce, and digital platform providers, in partnership with the Trade Dimensions product line.
Define and communicate the analytical product line roadmap in alignment with the overall Store Intelligence roadmap, business objectives, and customer needs.
Lead cross-functional product squads through influence, collaborating 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 improving product management practices.
Analyze location intelligence, retail analytics, and Gen AI markets to identify trends, client needs, portfolio gaps, growth opportunities, and competitive offerings.
Engage customers, market teams, sales, and delivery stakeholders to understand product usage, gather feedback, and turn insights into improvements and new offerings.
Own the end-to-end lifecycle of assigned analytical capabilities, including location analytics, Gen AI features, APIs, and partner or platform integrations.
Maintain and prioritize the product backlog; define requirements and acceptance criteria for analytical methods, user experience, APIs, performance, and delivery.
Partner with engineering, data science, and design teams to deliver high-quality capabilities on time.
Drive the use of Gen AI, data, and analytics within products, including natural-language querying, automated insights, and agentic workflows, and in product decision-making.
Establish and monitor product success measures, including adoption, usage, API consumption, insight accuracy, time-to-value, revenue, and customer satisfaction, and use them to 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.