Principal Product Manager, Enterprise Data

Principal Product Manager, Enterprise Data Products

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.

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 enterprise.

In 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.

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

Requirements:

Education & Experience

• 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.
• 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.
• Bachelor's degree in Data Science, Computer Science, Business Administration, Information Systems, or related field (Master's/MBA preferred).

Preferred Qualifications

• Experience with data governance, data quality, and metadata management practices.
• Familiarity with modern data platforms (e.g., Snowflake, Databricks, dbt) 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 to shape F5's enterprise data products strategy from 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.

The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.

The annual base pay for this position is: $196,000.00 - $294,000.00

F5 maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, geographic locations, and market conditions, as well as to reflect F5’s differing products, industries, and lines of business. The pay range referenced is as of the time of the job posting and is subject to change.

You may also be offered incentive compensation, bonus, restricted stock units, and benefits. More details about F5’s benefits can be found at the following link: https://www.f5.com/company/careers/benefits. F5 reserves the right to change or terminate any benefit plan without notice.

Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com).

Equal Employment Opportunity

It is the policy of F5 to provide equal employment opportunities to all employees and employment applicants without regard to unlawful considerations of race, religion, color, national origin, sex, sexual orientation, gender identity or expression, age, sensory, physical, or mental disability, marital status, veteran or military status, genetic information, or any other classification protected by applicable local, state, or federal laws. This policy applies to all aspects of employment, including, but not limited to, hiring, job assignment, compensation, promotion, benefits, training, discipline, and termination. F5 offers a variety of reasonable accommodations for candidates. Requesting an accommodation is completely voluntary. F5 will assess the need for accommodations in the application process separately from those that may be needed to perform the job. Request by contacting accommodations@f5.com.

Key skills/competency

• Principal Product Manager, Enterprise Data Products
• Data Product Strategy
• Data Marketplace Management
• Certified Data Sets Program
• Data as a Product Transformation
• AI/ML Strategy
• Business Intelligence Solutions
• Stakeholder Partnership
• Data Governance
• Data Quality