Principal IT Product Manager - Data & Analytics

About Us

At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!

We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

About the Team

The Information Security team at Palo Alto Networks is not your ordinary Information Security team. We’re a diverse group of security professionals who challenge the status quo in order to protect Palo Alto Networks and our customers. Driving innovation on the Information Security team of the fastest-growing high-tech cybersecurity company is a once-in-a-lifetime opportunity. You’ll be joined by the brightest minds in technology, and our global teams are on the front line of defense against cyberattacks.

Responsibilities

• Develop, maintain, and prioritize the Product Telemetry and Analytics roadmap, balancing immediate wins with long-term initiatives.
• Translate business needs and stakeholder requests into clear, actionable technical epics.
• Define and own the Product Requirements Document (PRD) for strategic New Product Launches and related initiatives.
• Analyze data to share strategic insights with Senior leadership on a regular basis.
• Act as the core liaison between business leadership and engineering to transform data strategy into concrete execution plans.
• Drive the cultural shift from static reporting to AI-driven interactions, leading internal Product Analytics in adopting AI workflows.
• Champion natural language AI data analyzers by leading the onboarding of product consumption datasets and refining business context.
• Quickly build and iterate on functional prototypes using AI-native tools to validate concept and user experience fit.
• Represent the data track in vertical AI initiatives, ensuring key data signals are available in workflows to boost productivity.
• Develop agentic MVPs in coding tools such as Cursor to rapidly accelerate the deployment time of AI-enabled solutions.
• Utilize proprietary AI tools to convert business requirements into actionable product requirements and user stories.
• Own the centralized data catalog for Product consumption metrics and critical data elements.
• Partner with Data Stewards and IT Engineering teams to inspect, prioritize, and manage data quality remediation efforts.

Requirements

Required Qualifications

• Bachelor’s degree with 15+ years, Master’s degree with 10+ years, or PhD with 5+ years of relevant experience.
• Proven track record of managing end-to-end delivery of data and analytics products from concept through launch at an enterprise level.
• Expert ability to deconstruct complex challenges, execute data-driven analysis, and translate findings into practical recommendations.
• Demonstrated proficiency in analytics across the Customer Journey, including Product Adoption, Time to Deploy, and Time to Value metrics.
• Extensive hands-on experience working with SQL and data visualization tools.

Preferred Qualifications

• Experience managing Customer Entitlements across the installed base of products and multi-faceted packaging.
• Hands-on experience developing functional prototypes and fully functioning MVPs using AI coding tools such as Cursor.
• Solid understanding of Large Language Model (LLM) capabilities, including concepts such as context windows, RAG, and memory.
• Knowledge of Python programming language.

Pay

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary + commission target (for sales/commissioned roles) is expected to be in the range of $164,000.00 - $266,000/yr. The offered compensation may also include restricted stock units and a bonus.

Benefits

A description of our employee benefits may be found here.