Senior Product Manager - Store Intelligence

NielsenIQ

12h

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. These products include location intelligence, Gen AI-enabled capabilities, and APIs and platform features built on NIQ retail store reference data. The role translates customer and business needs into a product roadmap and prioritized requirements, contributes to Store Intelligence strategy, and 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 Senior Product Manager owns the vision and strategy for the location-based analytical product line, aligned with company goals, customer needs, market trends, and the broader Store Intelligence roadmap. The position leads cross-functional product squads through influence, manages the end-to-end lifecycle of assigned capabilities, and uses customer feedback and product performance data to improve products and support successful launches and adoption. Relevant areas include Gen AI, geospatial and location analytics, data products, APIs, and modern product development practices.

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, defining analytical use cases, integrating via 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, including the ability to convey 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 client segments including 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 by 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 improving product management practices.
Analyze location intelligence, retail analytics, and Gen AI markets to identify trends, customer needs, portfolio gaps, growth opportunities, and competitive offerings.
Engage with customers and internal market, sales, and delivery stakeholders to understand product usage, gather feedback, and translate insights into product improvements and new offerings.
Own the end-to-end lifecycle of assigned Store Intelligence analytical capabilities, 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.
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 use data to inform product decisions.
Establish and monitor product success indicators, including adoption, usage, API consumption, insight accuracy, time-to-value, revenue, and customer satisfaction; use them to guide 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 on packaging and positioning, go-to-market plans, product launches, and adoption.