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Palo Alto Networks Italia Logo Palo Alto Networks Italia · IT - Software Development

Practice Lead

Brazil, São Paulo · Job Posted July 02, 2026
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Job Description

As the Practice Lead (PL) within the Center of Excellence (COE), you will serve as the premier technical, operational, and delivery authority for our market-leading Cortex and Cloud portfolios within your designated theater. In this high-impact, matrix-leadership role, you are responsible for bridging global strategic engineering standards with regional field execution. Your mission is to drive predictable, world-class customer outcomes across the entire lifecycle from initial architecture, deployment & post-deployment phases. You will act as the critical corporate nexus aligning Professional Services (PS), Customer Success (CS), Product Engineering, and Go-To-Market (GTM) leadership. By championing delivery excellence, AI-powered operational consistency, and regional performance, you will directly influence how Palo Alto Networks scales its most sophisticated cybersecurity and AI-driven automation solutions for the world’s largest enterprises.

Job Responsibility

  • Drive Regional Excellence: Own the application, localized adoption, and quality governance of global COE methodologies, ensuring they are tailored effectively to regional market dynamics and compliance realities
  • Cross-Functional Orchestration: Establish seamless alignment between Professional Services (PS) and Customer Success / Scale & Optimize (S&O) organizations to define unified delivery frameworks, joint handoffs, and customer success metrics
  • Executive Escalation & Governance: Serve as the definitive regional authority and escalation point for complex methodology, scoping, and execution challenges, resolving high-stakes delivery roadblocks before they impact customer health
  • Unified Lifecycle Management: Enforce and champion a cohesive, end-to-end customer journey that bridges the gap between initial implementation and long-term account value optimization/expansion
  • Operational Boundary Design: Define, refine, and optimize operational ownership boundaries between PS and CS, eliminating friction, clarifying roles, and ensuring frictionless transitions for customers
  • AI-Driven Standardization at Scale: Eradicate bespoke, one-off delivery approaches by designing, introducing, and enforcing highly repeatable, asset-driven execution models that leverage machine learning insights and autonomous AI playbooks to maximize delivery margins
  • Strategic Commercial Partnership: Partner directly with regional Sales, Customer Success leadership, and GTM executives to ensure delivery readiness dynamically matches fast-paced deal motions and enterprise customer expectations
  • Deal Architecture & Risk Mitigation: Advise on strategic, marquee, and complex enterprise deals by providing expert guidance on technical feasibility, scoping precision, risk mitigation, and delivery architecture
  • Field-to-Product Feedback Loop: Systematically capture and synthesize theater-specific insights, product limitations, and regional constraints into structured, data-driven telemetry for Global COE and Product/Engineering teams to shape the future product roadmap
  • Proactive Risk Management: Maintain deep, data-driven visibility into regional capacity, market demand, and delivery risks
  • preemptively resolve bottlenecks, skill shortages, and scalability challenges
  • AI Readiness & Enablement: Spearhead the continuous enablement of field teams, ensuring PS, CS, and partner organizations are fully certified, equipped, and confident to execute new product features, service offerings, and advanced toolsets
  • Operational KPIs: Establish and track metrics around delivery quality, methodology adherence, time-to-value, and customer satisfaction within the theater

Requirements

  • 10+ years of experience leading large-scale transformational initiatives within enterprise Professional Services, Management Consulting, or Customer Success organizations. A proven track record of modernizing global service delivery models is essential
  • 5+ years of experience steering enterprise-wide orchestration, strategic operations, business transformation, or executive advisory functions within a high-growth cybersecurity, cloud provider (AWS/Azure/GCP), or enterprise SaaS company
  • Exceptional capability to influence, build consensus, and drive massive organizational change across disparate executive teams spanning Product, Engineering, Sales, and Services
  • Solid understanding of how machine learning and Generative AI (GenAI) intersect with security operations. Candidates should possess a practical grasp of AI-driven SecOps (e.g., Cortex XSIAM), automated triage/incident orchestration, and the unique security governance/risks associated with safeguarding enterprise LLM deployments
  • Proven success building, scaling, and optimizing delivery methodologies, operational governance models, maturity frameworks, and KPIs within complex, matrixed global organizations
  • Stellar verbal, written, and presentation skills, with a demonstrated ability to translate highly complex technical, architectural strategies into clear, actionable operational plans for both technical engineers and C-suite audiences
  • Deep technical literacy in modern cybersecurity architectures. Direct experience with Cortex (XDR/XSIAM/XPANSE), Cortex Cloud, and Prisma Cloud (or highly equivalent enterprise EDR/XDR, SIEM/SOAR, and CNAPP solutions) is strongly preferred
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