Director, Enterprise Data Engineering and Analytics
Palo Alto Networks
- Location
- Office - India - Bangalore
- Work model
- On-Site
- Level
- Staff
- H-1B history
- 168 approvals (FY2023)
- Posted
- 8h ago
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
We are looking for a dynamic and technically adept Director of Enterprise Data Engineering and Analytics. In this role, you will lead a growing, highly capable team spanning data engineering, analytics, and product management—who are an integral part of our global organization based across US, Israel, and India. This is a role for an owner and a builder, not a bureaucrat or a pure program manager. We are seeking a leader who blends deep technical expertise with outstanding people leadership to bring people together and drive cohesion. You will foster a high-agency, performance-driven culture, empowering your team to take ownership and autonomously drive projects from inception to impact.
Key Responsibilities
Technical & Strategic Leadership: Oversee and integrate various data functions—including data engineering, reporting, insights, analytics, and machine learning. You must understand how these components interact and function at a deep technical level. Global Collaboration & Execution: Partner closely with US-based leadership and business stakeholders to initiate, shape, and drive critical work. You will seamlessly navigate multiple time zones, serving as the bridge between global strategy and local execution. Domain Excellence: Drive high-impact data initiatives across key organizational domains, including People, Finance, Go-To-Market (GTM), Support, and Marketing. Executive Communication: Seamlessly transition between diving deep into the technical weeds with your engineers and up-leveling complex work into clear, strategic insights for executive audiences. Empowering Ownership: Work directly with the business to take full ownership of projects, while cultivating an environment where your team is empowered to take responsibility, operate autonomously, and deliver high-performance results.
The Team
You will be stepping into a critical leadership position for our India Data & Analytics team, which serves as a core pillar of our global data organization spanning Santa Clara, Israel, and India. The India team is composed of talented data engineers, data analysts, and product managers who are passionate about unlocking business potential.
Qualifications
Required Qualifications Team Building & Scaling: A proven track record of building, scaling, and managing highly cohesive, high-performing technical teams. You know how to spot talent, drive a performance culture, and give teams the room they need to grow. Deep Technical Expertise: Strong foundational knowledge across the entire data lifecycle. You are highly fluent in data engineering pipelines, database management, advanced analytics, insights, and machine learning. Cross-Functional Collaboration: Exceptional ability to collaborate both within your immediate