Senior Product Manager - Data and Analytics

4+ years in product management At least 2 years focused on data analytics, business intelligence, or reporting products Experience with B2B/enterprise SaaS, preferably in e-commerce, retail analytics, or martech Strong understanding of analytics platforms and data visualization tools (Looker, Tableau, Power BI, or similar) Proficiency in agile development practices and user story development Analytical mindset with ability to derive insights from data and translate them into product requirements Experience representing customer needs through personas, user stories, and product specifications Ability to lead through influence and collaborate across technical and business teams

Conduct continuous customer discovery to understand pain points, business questions, and insights needs. Validate product assumptions through prototype reviews and customer feedback sessions. Assess current data assets and identify gaps. Collaborate with Partnerships team to evaluate potential data partners. Perform competitive analysis of analytics offerings. Own specific analytics product areas and launch new premium data offerings. Define and prioritize features for customer-facing analytics dashboards and reporting capabilities. Collaborate on data feeds, data sharing, and internal intelligence products. Support development of conversational analytics and AI-enhanced data accessibility features. Partner with Data Tech Lead and engineering to ensure data quality, consistency, and reliability. Identify and resolve data discrepancies across systems. Oversee functional quality of analytics products and customer-facing deliverables. Establish quality standards and validation processes for premium reports. Translate customer needs and data requirements into detailed user stories and acceptance criteria. Work with engineering and design teams to develop and test prototypes. Manage product backlog and sprint planning for assigned product areas. Lead beta testing programs with customers. Analyze product usage and customer feedback to identify improvement opportunities. Develop and communicate product roadmap for areas of ownership. Collaborate with Sales, CSMs, and internal stakeholders. Work closely with data and engineering teams to balance customer needs with technical feasibility. Track and communicate product performance metrics to stakeholders.