Senior Data Automation​/Marketing Ops Lead

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.

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.

We are seeking a highly strategic and visionary Senior Data Automation/Marketing Ops Lead to design and oversee our global marketing technology stack and data platform ecosystem. Firmly seated within the digital marketing organization, this role is explicitly differentiated from traditional IT functions; instead, you will serve as the critical bridge, partnering closely with IT for flawless technical execution. Reporting to the Director of Marketing Data and Operations, this leader will drive digital acquisition capabilities, focusing on integrating artificial intelligence, enabling end‑to‑end performance tracking, and optimizing operational workflows for unprecedented scale and efficiency.

The successful candidate will be a creative problem‑solver who thrives in a fast‑changing environment, acting as the primary technical architect to ensure our technology foundation actively supports aggressive global business growth.

• Be the principal marketing architect for the marketing technology stack, actively partnering with IT to design and execute the full end‑to‑end (E2E) vision.
• Lead the Mar Tech council, serving as the primary technical Subject Matter Expert (SME) in marketing for the rigorous technical evaluation of proposed vendors and marketing use cases.
• Act as the primary technical interface between Marketing and IT ensuring seamless solution design, implementation, and the proactive communication of Mar Tech stack requirements to Engineering/IT stakeholders.
• Be the marketing lead, guide and direct the solution design and development of a fully integrated Mar Tech ecosystem, in collaboration with IT, to enable real‑time omnichannel journey orchestration and facilitate agentic automation.
• Provide technical leadership and oversight to ensure successful, compliant, and efficient Customer Data Platform (CDP) development and implementation.
• Champion technical best practices for real‑time data processing, modeling, and seamless AI deployment, driving automation and replacing manual processes with intelligent workflows.
• Design, document, and implement highly scalable operational processes (SLAs, governance) that optimize workflow efficiency, productivity, and quality across all global digital operations.
• Enforce rigorous data quality, governance, and operational excellence across all acquisition processes (data pipelines, tag management) with a mandatory zero‑error mentality.

• Extensive progressive experience in Mar Tech, Marketing Operations, or Digital Marketing roles, with a proven track record of leading technical initiatives.
• Extensive experience driving design and implementation of scalable data infrastructure that meet the demands of real‑time decisioning.
• Expert‑level knowledge of technical integrations across the Mar Tech stack, including CDPs, CRMs (e.g., Salesforce), and internal data warehousing solutions (e.g., Snowflake, Big Query).
• Deep…