Principal Product Manager, Enterprise Data

About the Role:
We areseekinga strategic and innovativePrincipal Product Manager Enterprise DataProductsto 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 enterprise.

In this pivotal role you will own the end-to-end product strategy for our enterprise data products ecosystemincluding data sets data/AIapplications 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 ablend of product visiontechnical fluency andstakeholder leadershipto unlock the full potential ofF5sdata assets.

Key Responsibilities:

Data Product Strategy & Management

• Define and execute the product vision and roadmap for F5senterprise data product portfolio including data sets data applications and business intelligence solutions.

• Lead the development and operation of theenterprise data marketplace enabling self-service discovery access and consumption of trusted data assets.

• Establish and govern thecertified data setsprogram ensuring data quality lineage documentation and trust standards are met.

• Drive the organizational transformation to adata productmindset embedding product management principles into how data is created managed and consumed.

AI Strategy & Innovation

• Shape and influence the AI strategy forAnalytics & Data Scienceidentifyingopportunities 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 forcustomer and corporate intelligencesolutions enabling stakeholders to understand customer behavior health engagement and delivering actionable insights on business performance operations and strategic initiatives.

• Ensureproduct telemetry insightsare 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 thatdata product ROI is measured and effectively communicated to senior leadership.

Stakeholder Partnership

• Serve as the primaryproduct advocatefor 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 intocompelling narrativesand recommendations tailored to both technical and non-technical audiences.

• Build strong relationships with data producers and consumers to drive adoption and feedback loops.

Requirements:

Education & Experience

• 10 yearsof experience in product management data management analytics or related fields with a strong emphasis onenterprise data productsand their application in driving business outcomes.

• Proven experience leadingdata product strategy including data marketplaces data catalogs certified data sets or BI platforms.

• Strong understanding ofAI/ML conceptsand their practical application in analytics and data science contexts.

• Experience drivingData as a Productor data mesh transformations in enterprise environments.

• Demonstrated ability to influence and collaborate with stakeholders at all levels including senior leadership.

• Excellent communication skills with the ability to articulate complex data concepts to diverse audiences.

• Bachelors degree inData Science Computer Science Business Administration Information Systems or related field (Masters/MBA preferred).

Preferred Qualifications

• Experience with data governance data quality and metadata management practices.

• Familiarity with modern data platforms (e.g. Snowflake Databricksdbt) and BI tools (e.g. Tableau Power BI).

• Background in customer analytics business intelligence or corporate performance management.

• Experience in B2B SaaS or technology companies.

What We Offer:

• A fast-paced forward-thinking environment that values innovation and data-driven decision-making.

• The opportunity toshape F5s enterprise data products strategyfrom the ground up directly influencing how the organization leverages data as a strategic asset.

• Competitive compensation benefits and career growth opportunities in a high-impact individual contributor role.

• Collaboration with a talented team of data scientists engineers and analysts within the CDAO organization.