Senior Product Manager - Store Intelligence

Key Responsibilities: 

Product Strategy and Vision: 

• 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, ensuring alignment with the overall Store Intelligence roadmap, business objectives, and customer needs. 

Cross-Functional Leadership and Collaboration: 

• Lead cross-functional product squads through influence, partnering with data scientists, engineers, designers, operations, and commercial teams to create a culture of collaboration, innovation, and accountability. 

• Provide product leadership, coaching, and subject-matter guidance to colleagues and delivery partners, while contributing to the continuous improvement of product management practices. 

Market Analysis and Customer Engagement: 

• Analyze the location intelligence, retail analytics, and Gen 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. 

Product Development and Lifecycle Management: 

• Own the end-to-end product lifecycle for assigned Store Intelligence analytical capabilities (e.g. location analytics, Gen AI features, APIs, and partner/platform integrations), from discovery and business case through requirements, delivery, launch, adoption, and ongoing optimization. 

• Maintain and prioritize the product backlog; define clear requirements and acceptance criteria for analytical methods, user experience, APIs, performance, and delivery; and partner with engineering, data science, and design teams to deliver high-quality capabilities on time. 

AI and Data-Driven Decision Making: 

• Drive the use of Gen AI, data, and analytics both within the products (e.g. natural-language querying, automated insights, agentic workflows) and in product decision-making, leveraging usage insights to iterate on products and enhance user experiences. 

• Establish and monitor key performance indicators such as adoption, usage, API consumption, insight accuracy, time-to-value, revenue, and customer satisfaction to measure product success and drive continuous improvement. 

Stakeholder Communication: 

• Communicate product priorities, trade-offs, plans, risks, and results clearly 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.

Function: General Business
Experience Level: Mid-Senior Level