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

Georgia Tek Systems
  • San Francisco, CA
    30+ days ago

    Job Description

    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.

    Numbers & Facts

    LocationSan Francisco, CA

    Skills

    • Agile Programming Methodologiesunmatched
    • Artificial Intelligence (AI)unmatched
    • Atlassian JIRAunmatched
    • Best Practicesunmatched
    • Business Intelligenceunmatched
    • Cloud Computingunmatched
    • Data Analysisunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Data Qualityunmatched
    • Documentationunmatched
    • Establish Prioritiesunmatched
    • Metricsunmatched
    • Performance Metricsunmatched
    • Product Lifecycleunmatched
    • Product Managementunmatched
    • Product Planningunmatched
    • Product Supportunmatched
    • Quality Assuranceunmatched
    • Reporting Skillsunmatched
    • Requirements Managementunmatched
    • Retailunmatched
    • Supply Chainunmatched
    • Tableauunmatched

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