Palo Alto Networks-posted 1 day ago
Full-time • Director
Onsite • Santa Clara, CA
5,001-10,000 employees

We are looking for a Senior Director to join the Palo Alto Networks Data & Analytics team. In this role, you will lead the strategy for Data Governance across the organization while simultaneously driving the adoption of AI products at an enterprise scale. This is a leadership role for a builder. You won't just oversee a process; you will build and lead a transformational, "AI-First" team that uses AI to speed up its own work and enables the rest of the company to do the same. We need a player-coach who operates at the intersection of business strategy and technical execution. You will partner deeply with engineering to define what we build and work with business leaders to make sure it delivers real value. If you combine deep technical fluency in Machine Learning and Data with the ability to orchestrate complex

  • Operationalizing AI: You will drive the transition of high-potential AI products from early pilots into full-scale production. Your focus is ensuring these tools are operationally sound, scalable, and actually used by the business.
  • Next-Gen Data Governance: Lead the strategy and execution of our Data Governance initiative. You will move beyond compliance to drive the build of an AI-powered governance platform, ensuring our data is secured and curated through automation.
  • Driving the Technical Roadmap: Act as a strategic partner to IT Engineering and Product teams. You won't just influence the plan; you will drive the technical roadmap based on business needs, ensuring we build the right infrastructure for Governance and AI enablement.
  • Building a Team: Recruit and lead a high-performing team. As a player-coach, you will foster a culture of technical depth, showing your team how to adopt AI tools to accelerate their own workflows.
  • Strategic Execution: You own the delivery of complex, multi-quarter initiatives. You are responsible for the timeline and quality, cutting through cross-functional dependencies to ensure we deliver with precision.
  • Executive Stakeholder Management: Serve as a trusted advisor to Senior Leadership. You will navigate complex executive requirements and provide transparent reporting on the health of our data ecosystem.
  • 12+ years of experience leading complex data initiatives. You have a track record of operationalizing products and driving strategy in mid-to-large enterprise environments.
  • AI & Data Depth: You understand the Machine Learning lifecycle, Data Architecture, and AI technologies. You can hold your own in technical debates with engineering leads and understand the "physics" of data.
  • Governance Leadership: Proven experience leading Data Governance initiatives is required. We want someone who approaches governance with a modern, automated mindset.
  • Execution & Builder Mindset: You have a history of building things, not just managing them. You bring a strong execution muscle and can cut through ambiguity to deliver results without needing a heavy administrative layer.
  • Product Scale: Demonstrated success in taking data/AI products from Proof of Concept (POC) to global deployment, ensuring adoption and value realization.
  • Education: Bachelor’s degree in a technical field required;
  • Leadership: Experience building and transforming teams. You know how to spot talent and foster a culture of technical curiosity.
  • an Advanced Degree (MBA or MS) is preferred.
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