Principal Product Manager, Enterprise Data

## Principal Product Manager, Enterprise Data Apply remote type:
Hybrid locations:
San Josetime type:
Full time posted on:
Posted Todayjob requisition :
RP1037858

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better.

And it means we prioritize a diverse F5 community where each individual can thrive.
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* About the Role:

** We are seeking a strategic and innovative Principal Product Manager, Enterprise Data Products to lead our data product portfolio within the Chief Data & Analytics Office (CDAO). This role is critical to transforming how F5 leverages data as a strategic asset, enabling smarter, data-driven decision-making across the  this pivotal role, you will own the end-to-end product strategy for our enterprise data products ecosystem—including data sets, data/AI applications, business intelligence solutions, and our enterprise data marketplace.

You will be the driving force behind our "Data as a Product" transformation, ensuring data consumers across F5 have access to certified, trusted, and actionable data assets.

As the Principal Product Manager, Enterprise Data Products, you will serve as a trusted partner to stakeholders across the organization, shaping the AI strategy for Analytics & Data Science while delivering measurable business value through customer intelligence, corporate intelligence, and scalable data solutions. This role requires a blend of product vision, technical fluency, and stakeholder leadership to unlock the full potential of F5's data assets.
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* Key Responsibilities:

**** Data Product Strategy & Management
*** Define and execute the product vision and roadmap for F5's enterprise data product portfolio, including data sets, data applications, and business intelligence solutions.
* Lead the development and operation of the enterprise data marketplace, enabling self-service discovery, access, and consumption of trusted data assets.
* Establish and govern the certified data sets program, ensuring data quality, lineage, documentation, and trust standards are met.
* Drive the organizational transformation to a data product mindset, embedding product management principles into how data is created, managed, and consumed.
** AI Strategy & Innovation
*** 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.
* Partner with data scientists and engineers to integrate AI capabilities into data products and intelligence solutions.
* Stay current on emerging trends in AI, data management, and analytics to inform roadmap priorities and innovation initiatives.
** Intelligence & Insights Products
*** 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.
* Ensure product telemetry insights are embedded into the workflows of go-to-market teams, enabling data-driven actions across Sales, Marketing, and Customer Success.
* Ensure intelligence products are aligned with business priorities, deliver measurable value to stakeholders, and that data product ROI is measured and effectively communicated to senior leadership.
** Stakeholder Partnership
*** Serve as the primary product advocate for enterprise data products, educating stakeholders on capabilities, roadmaps, and value realization.
* Partner closely with cross-functional teams (Sales, Marketing, Finance, Product, Engineering, Customer Success) to understand data needs and translate them into product requirements.
* Translate complex data concepts into compelling narratives and recommendations tailored to both technical and non-technical…