Sr. Product Manager

Job Title: Sr. Product Manager – Enterprise Data & Reporting
Location: San Francisco, CA (Hybrid – Onsite)

Role Summary

seeking an experienced Sr. Product Manager – Enterprise Data & Reporting to lead the strategy, roadmap, and execution of AI-driven data and reporting products supporting Supply Chain and Enterprise Analytics. The role will drive the development of intelligent, scalable data products that enable faster business insights, self-service analytics, and AI-powered decision-making across the organization.

Key Responsibilities

• Own the product roadmap and lifecycle for Supply Chain reporting and analytics platforms.
• Gather, prioritize, and translate business requirements into product specifications and Jira user stories.
• Partner with Engineering, Data, Analytics, and Supply Chain teams to deliver scalable reporting solutions.
• Define KPIs and success metrics to measure product adoption and business value.
• Drive data governance, documentation, and data quality initiatives.
• Promote AI-enabled analytics and self-service reporting capabilities across business teams.
• Evaluate and implement modern AI-powered analytics solutions including Databricks Genie, ThoughtSpot Spotter, Copilot, and Claude.
• Translate reporting requirements into Tableau and ThoughtSpot engineering specifications.
• Establish scalable product management processes, templates, and best practices.

Required Skills & Experience

• 8+ years of Product Management experience, preferably in Enterprise Data, Analytics, or Reporting platforms.
• Strong experience managing data products, BI/reporting solutions, and analytics initiatives.
• Experience working with Tableau, ThoughtSpot, Databricks, Jira, and modern cloud data platforms.
• Solid understanding of data modeling, reporting architecture, and data governance principles.
• Experience partnering with engineering teams using Agile methodologies.
• Exposure to AI-powered productivity and analytics tools such as Copilot, Claude, Databricks Genie, or similar technologies.
• Excellent stakeholder management, communication, and roadmap planning skills.
• Experience supporting Supply Chain, Retail, or Enterprise Analytics domains is highly preferred.

Please prioritize sourcing candidates with strong Product Management experience in enterprise data and analytics platforms, along with exposure to AI-enabled reporting and modern BI technologies.