Senior Data Product Manager (Idira)
Palo Alto Networks
- Location
- Office - Israel - CyberArk Petach Tikva
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 168 approvals (FY2023)
- Posted
- Sep 10, 2026
Skills
About this role
Our Mission
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.
Who We Are
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.
Job Summary
As a senior member of Idira's Product Management team, you’ll play a pivotal role in driving the business forward. You'll be responsible for the vision, strategy, planning, and execution across the entire product lifecycle. Our Core Data and AI Product team is looking for a Senior Data Product Manager to lead and coordinate the development of our data platform and products. This includes overseeing the central data lake, data products and data catalogue as well as automation systems. What will you do: As Senior Product Manager, you will be instrumental in shaping the future of data-driven solutions across the organization. You will define the vision and strategy for our data platform, leading the creation of innovative products that harness data to deliver actionable insights, optimize workflows, and improve decision-making. From managing data lakes and advanced tools to integrating machine learning, you’ll ensure our data products meet the dynamic needs of both internal teams and external customers, enabling them to make smarter, more informed decisions. Data Expertise & Ownership: Become the go-to expert on all data aspects, with a deep understanding of data flows, ETL processes, data producers and consumers, data quality, architecture, analytics, machine learning, and cloud services. Identify & Drive Data Opportunities: Translate business needs into clear data platform strategies, requirements, and roadmaps that align with business goals and technological capabilities. Lead the Data Product Lifecycle: Define and manage the product roadmap, ensuring alignment with business objectives. Collaborate with internal customers and stakeholders to understand their needs and translate them into PRDs, features, and user stories. Cross-Functional Collaboration: Work closely with R&D, additional Product Managers, Data Scientists, Security Researchers, Legal, PMO, and other teams to align on product vision, design, and execution. Internal Customer Engagement: Ensure product success by actively communicating roadmap updates, gathering feedback, and ensuring satisfaction with internal teams and enterprise customers. Stay Ahead of Industry Trends: Continuously evaluate and apply the latest advancements in data technologies, ensuring that the product evolves to meet both current and future needs.
Qualifications
5+ years in product management 3+ years in Data-driven product or services, working with complex data & analytics solutions over Data Lake/Data Warehouse based on cloud service. A must. Proven ability to drive cross-functional collaboration with large organizations Strong technical background, with the ability to understand complex systems Strong understanding of how product’s use cases affect data