Principal Product Manager, Enterprise Data

F5 F5 · Enterprise · San Jose, CA

Principal Product Manager for Enterprise Data Products, focusing on data product strategy, data marketplace, and integrating AI/ML into data solutions to drive business value. This role aims to transform how F5 leverages data as a strategic asset.

What you'd actually do

  1. Define and execute the product vision and roadmap for F5's enterprise data product portfolio, including data sets, data applications, and business intelligence solutions.
  2. Lead the development and operation of the enterprise data marketplace, enabling self-service discovery, access, and consumption of trusted data assets.
  3. Shape and influence the AI strategy for Analytics & Data Science, identifying opportunities where AI/ML can enhance data products, automate insights, and drive business outcomes.
  4. Own the product strategy for customer and corporate intelligence solutions, enabling stakeholders to understand customer behavior, health, engagement, and delivering actionable insights on business performance, operations, and strategic initiatives.
  5. Serve as the primary product advocate for enterprise data products, educating stakeholders on capabilities, roadmaps, and value realization.

Skills

Required

  • Product management
  • Data management
  • Analytics
  • Enterprise data products
  • Data product strategy
  • Data marketplaces
  • Data catalogs
  • Certified data sets
  • BI platforms
  • AI/ML concepts
  • Data as a Product transformation
  • Stakeholder management
  • Communication skills
  • B2B SaaS experience

Nice to have

  • Data governance
  • Data quality
  • Metadata management
  • Modern data platforms (Snowflake, Databricks, dbt)
  • BI tools (Tableau, Power BI)
  • Customer analytics
  • Business intelligence
  • Corporate performance management

What the JD emphasized

  • 10+ years of experience in product management, data management, analytics, or related fields, with a strong emphasis on enterprise data products and their application in driving business outcomes.
  • Proven experience leading data product strategy, including data marketplaces, data catalogs, certified data sets, or BI platforms.
  • Strong understanding of AI/ML concepts and their practical application in analytics and data science contexts.
  • Experience driving "Data as a Product" or data mesh transformations in enterprise environments.