Sr. Digital Strategic Operations Manager - AI Adoption

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

As the Sr. Digital Strategic Operations Manager, you will be the engine room of our marketing transformation. You aren't just a project manager; you are a builder of systems and a driver of change. This role sits at the intersection of strategy and execution, responsible for ensuring our marketing organization is fast, fiscally disciplined, AI-ready, and culturally aligned.

Key Responsibilities

• Define and scale AI-enabled capabilities and workflows, moving AI from "experimentation" to "standardized production."

• Lead high-priority transformation initiatives (e.g., M&A integrations, enterprise rollouts) with a focus on risk management and measurable outcomes.

• Partner with Finance to ensure disciplined capital allocation, managing budget pacing and vendor consolidation.

• Design and deliver the curriculum required to scale digital literacy and change adoption across the global marketing team.

• Agentic Workflows: Oversee the deployment of agentic workflows, ensuring AI agents are properly integrated into systems like SFDC and Marketo.

• AI Guardrails: Implement and enforce AI safe-use standards and quality guardrails to ensure brand safety and privacy compliance.

• Value Realization: Establish KPIs for AI adoption, targeting significant reductions in manual reporting and execution hours.

Qualifications

Required Qualifications

• 10+ years of experience in Marketing, Marketing Operations, or Business Strategy leadership within a global enterprise technology company with a focus on process architecture.

• Proficiency in budget management, ROI analysis, headcount planning, and financial modeling within a marketing context.

• Comprehensive understanding of SaaS business models, modern demand generation, and the complexities of global enterprise marketing.

• Proven capability to lead large-scale organizational transformations with a strong bias toward iterative processes.

• Ability to build deep relationships and influence senior leaders without direct authority.

• Comfortable driving accountability with senior leaders and cross-functional GTM teams.

• Absolute integrity and the ability to handle sensitive information regarding organizational changes, budgets, and performance.

Preferred Qualifications

• Experience thriving in 'transformation' environments where the roadmap is built in real-time.

• A proactive mindset—identifying issues before they reach leadership and presenting them alongside potential solutions.

• Demonstrated ability to not just fix problems, but to build processes to prevent them from reoccurring.

• A "power user" mindset—you understand GenAI prompt engineering and "agentic" workflow design.

• Experience moving technical capabilities into user-friendly, repeatable marketing workflows.

• Ability to find the ROI story within AI/Automation data and define a data strategy

Compensation Disclosure

The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive