Vice President, Enterprise AI Strategy and Transformation (Remote)

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We’re also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role:

CrowdStrike is the industry-defining cybersecurity company. We are on a trajectory to $10B in revenue and beyond, and we are betting on Enterprise AI to supercharge that journey.

We are seeking a visionary Vice President to architect and lead our AI Center of Excellence (CoE). This is not a theoretical role; it is an operational leadership position tasked with deploying the next generation of agentic systems and AI-driven workflows across our entire enterprise. You will bridge the gap between technical possibility and business reality, translating complex AI capabilities into scalable solutions that drive GTM velocity, R&D innovation, and operational efficiency.

You will be the internal champion for our "AI-First" ambition, ensuring that every CrowdStriker—from HR to Sales to Engineering—is empowered by secure, resilient, and responsible AI.

What You'll Do:

Strategic Leadership & Governance

• Define the Enterprise AI Roadmap: Own the company-wide internal strategy for AI platforms, tools, and capabilities. Align AI initiatives directly with the $10B revenue goal and OPEX optimization targets.

• Lead the AI Center of Excellence: Build and manage a high-performing cross-functional team (Product Managers, Engineers, Analysts) to serve as the engine of AI transformation.

• Executive Leadership: Chair the AI SteerCo, driving prioritization, investment strategy, and buy-vs-build decisions with the C-Suite and executive leadership.

• Governance & Ethics: Develop rigorous frameworks for AI governance, compliance, and risk management. Ensure all internal AI adoption aligns with CrowdStrike’s standards for security and responsibility.

Execution & Transformation

• Transform through the coordinated deployment of agentic systems: Enable implementation of intelligent, autonomous workflows that redefine operational models across the enterprise.

• Cross-Enterprise Integration: Partner with functional business teams to embed AI into their daily operations, ensuring seamless integration into existing enterprise applications.

• Drive Productivity Step-Change: Identify and align teams to execute on opportunities to bend the OPEX growth curve with a focus on hyper-automation and process re-engineering.

• Innovation Scouting: Continuously assess the emerging technology landscape (Generative AI, LLMs, Autonomous Agents) to keep CrowdStrike at the forefront of internal innovation.

The Candidate Profile

We are looking for a rare hybrid: a strategist with the soul of a technologist, and a technologist with the polish of a management consultant.

What You'll Need:

• Executive Gravity: 15+ years of experience, with a proven track record of leading enterprise-wide transformation initiatives in high-growth, large-scale organizations.

• AI Fluency: Deep understanding of the current AI landscape, specifically Generative AI, agentic capabilities, and Large Language Models (LLMs). You know the difference between hype and high-impact utility.

• Strong Executive Leadership: Demonstrated ability to lead executive-level steering committees, influence C-level decision-making, and secure investment for technology initiatives.

• Technical Leadership: Experience managing technical teams (Data Science, Engineering) and partnering with Product Engineering organizations.

• Operational Rigor: Strong background in business process automation. You understand the ecosystems of CRM, ERP, and Enterprise Data Lakes and how to modernize them.