AI-Driven Product Analytics & Data Strategy Lead

Job Summary We are looking for a visionary, hands‑on Principal Product Manager to drive Product Data & Analytics, fundamentally transforming how insights are generated and consumed in an increasingly AI‑driven world. In this pivotal role, you will define the Product Adoption Data Foundation & Analytic strategy and guide execution alongside a skilled team of Data Engineers. Keeping pace with the latest AI advancements, you will leverage your domain expertise to conceptualize and develop agentic data products to solve for Product Adoption Insights. Furthermore, you will serve as the Subject Matter Expert for Data Governance establishing rigorous processes to ensure data quality and freshness. Key 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. Qualifications 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‑faced 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. Compensation Disclosure 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 the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here. $164,000.00 - $266,000.00/yr Accommodation We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at View email address on click.appcast.io. Equal Opportunity Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Immigration Sponsorship Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position. #J-18808-Ljbffr