Sr. Product Manager Enterprise Data & Reporting - San Francisco, CA (Hybrid Onsite)

Job Title: Sr. Product Manager – Enterprise Data & Reporting

Location: San Francisco, CA (Hybrid – Onsite)

Role Summary

Sephora is 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.