Director, Marketing and Technical Ops
Palo Alto Networks· enterprise· Cybersecurity· Jan 24, 2026 · 9mo agoPosted 276 days ago
Office - USA - CA - Headquarters
Hybrid
Full-time
Director
$140K–$175K est.
15+ years exp
Before you apply
Ghost Signal:
Open since January 24, 2026 — 276 days, and still accepting applications.
Job description
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 Are We
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
Your Career
As the Director, Marketing and Technical Operations, you will partner with IT to lead the design, governance, and optimization of enterprise-grade AI and data platforms that enable our marketing operations and journey activations across omnichannel. This role requires a strategic leader with deep technical expertise, proven operational excellence, and the ability to drive innovation across global data ecosystems. You will own the realtime decision capabilities and data enrichment needed to provide ad targeting and content personalization You will also be a strategic partner for the IT team on all marketing roadmaps and requirements, providing marketing expertise and assuring accountability towards joint deliverables.
Your Impact
Define and execute the marketing AI and data platform vision aligned with enterprise and marketing objectives. This platform should automate marketing processes, campaign execution, ad serving intelligence and ROI insights.
Lead the development of scalable, secure, and high-performance AI-driven data solutions including RAG and EDA.
Partner with IT and engineering teams to embed and integrate scalable AI
Oversee the design and management of modern data architectures (cloud-native, hybrid, multi-cloud) as well as mission critical pipeline generation capabilities.
Partner on architectural design and lead business requirements for enterprise-grade customer data platform (CDP).
Ensure seamless data ingestion, transformation, and orchestration across global systems including marketing automation platforms, ad servers, and CRM.
Drive automation and operational efficiency in data pipelines, model deployment, and monitoring.
Establish and enforce marketing data governance frameworks in line with enterprise governance frameworks.
Ensure compliance with data privacy regulations (GDPR, CCPA, HIPAA) and other industry standards.
Collaborate with IT, cybersecurity and devops teams to safeguard AI models and data platforms.
Evaluate and integrate emerging AI technologies (LLMs, generative AI, agentic AI, predictive analytics) into marketing workflows and data intelligence operations.
Pilot innovative AI-driven tools that enhance customer experience and marketing operations.
Lead advanced analytics efforts aimed at lifting deep insights and predictive model within collected behavior and intent data to further drive operational scale and efficiency
Lead the deployment of enterprise-grade customer data platforms supporting real-time decisioning, activation, analytics and AI workloads for marketing.
Partner with DevOps to optimize cloud infrastructure for performance, scalability, and cost efficiency.
Partner with DevOps to implement best practices for MLOps, DevOps, and continuous delivery of AI solutions.
Communicate technical strategies and outcomes to executive leadership and non-technical stakeholders.
Mentor and develop technical talent, fostering a culture of innovation, accountability, and continuous learning.
Assure excellence in lead and data flow across the marketing ecosystem
Mentoring and coaching MOPS team on end to end data and lead flow practices and systems
Qualifications (Additional Job Description)
Your Experience
Minimum of 15 years of progressive experience in data architecture, data engineering, or machine learning engineering, with at least 3 years focused on architecting solutions for large-scale enterprise marketing systems.
Expert-level proficiency and hands-on experience designing and managing modern data architectures (data lakes, data warehouses, real-time streaming) in Google Cloud Platform (GCP) or a multi-cloud environment.
Proven expertise in the Adobe Marketing and Experience Cloud, specifically leading the design, implementation, and integration of an enterprise-grade Customer Data Platform (CDP) such as Adobe Experience Platform (AEP), or similar enterprise CDPs.
Demonstrated track record in the development and deployment of production-ready AI/ML solutions, including experience with Generative AI, Predictive Modeling and MLOps and DevOps.
Proven ability to define a multi-year data and AI platform strategy that successfully translates enterprise and marketing objectives into clear technical roadmaps and execution plans.
Extensive experience partnering with IT, Cybersecurity, Engineering, and DevOps teams to integrate AI models and data platforms securely into core marketing applications and workflows.
Expert knowledge of global data privacy regulations (GDPR, CCPA, HIPAA) and a history of establishing and enforcing robust marketing data governance and security frameworks.
Demonstrated ability to drive automation and optimize cloud infrastructure for performance, scalability, and cost efficiency in high-volume, global environments.
Exceptional verbal and written communication skills, with the ability to articulate complex technical data strategies and business outcomes clearly to executive leadership and non-technical marketing stakeholders.
Proven experience mentoring and coaching technical teams (Marketing Operations, Data Scientists) on complex data and lead flow practices, fostering a culture of technical excellence and accountability.
Compensation Disclosure
The compensation offered for this position will depend on qualifications, experience, and work location. For candidates who receive an offer at the posted level, the starting base salary (for non-sales roles) or base salary commission target (for sales/com-missioned roles) is expected to be the annual range listed below. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found here.
- /yr
Our Commitment
We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.
We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at accommodations paloaltonetworks.com .
Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.
All your information will be kept confidential according to EEO guidelines.
Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.
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