Lead, Technical Operations - Remote Eligible

Lead, Technical Operations

At Palo Alto Networks® everything starts and ends with our mission:

Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we're looking for innovators who are as committed to shaping the future of cybersecurity as we are.

This role is remote, but distance is no barrier to impact. Our hybrid teams collaborate across geographies to solve big problems, stay close to our customers, and grow together. You will be part of a culture that values trust, accountability, and shared success where your work truly matters.

Job Description

The Worldwide Shared Services team is dedicated to empowering Palo Alto Networks' go-to-market teams through innovative solutions and strategic guidance to drive superior outcomes. We strive to equip our teams with the expertise and resources needed to make a meaningful and lasting impact with the customers we serve while achieving sales excellence. We are committed to fostering an environment where our team members can thrive, creating a culture of collaboration and knowledge sharing to drive collective growth and success.

Palo Alto Networks is seeking a Sr Analytics and GTM Intelligence Lead to join its Planning & Operations team supporting the Worldwide Technical Solutions GTM motions. This role will be pivotal in driving data-informed decisions for executive leadership by executing key deliverables across prioritized business areas. The ideal candidate is a self-starter with exceptional quantitative skills and a passion for advanced data analytics, capable of standardizing deliverables, connecting disparate data points to generate actionable insights, and fostering a collaborative team environment.

Engage directly with executive leadership in the technical selling community to understand business priorities and go-to-market motions

Proactively engage with executive leadership, offering consultative insights based on a deep understanding of their priorities and the relevant data, becoming an expert in the technical lifecycle of sales deals

Build key relationships within Business Operations, IT and Finance to gain knowledge of systems/tools

Define innovative approaches to analyze the state of the business to drive desired business outcomes in the technical selling community

Prepare and present detailed metrics reports, dashboards, and performance narratives to the executive team

Identify risks, growth opportunities, and operational inefficiencies through advanced data analysis and provide actionable recommendations to leadership

Strategic application of AI, to uncover hidden patterns, predict future trends, and make data-driven decisions with unparalleled speed and accuracy

Automate the discovery of insights, transforming raw data into strategic assets, to enhance our competitive advantage

Qualifications

8+ years relevant experience in business intelligence reporting/data analytics, 3+ years in a senior level role

Skilled in utilizing data analysis and visualization tools, including SQL, Excel, Google Big Query, SFDC, and Tableau

Strong ability to govern operational metrics across multiple high-visibility projects and drive future business performance based on data trends

Detail-oriented mindset and proven experience presenting data-driven insights to executive leadership and influencing strategic decisions

Understanding of technical industry, with focus on technical selling community

Experience with understanding product vision, roadmap and GTM strategies

Proficient with applications, tools, and methodologies used to organize, manage, report progress, and deliver programs and projects

Experienced in driving large cross-functional programs/initiatives, building relationships, and leading through influence

Effective executive-level verbal and written communication and comfort with both technical and business discussions with senior audiences

Bachelor's degree in Data Science, Statistics, Computer Science, Business, or a related field; advanced degree preferred