Palo Alto Networks
Senior Data Automation/Marketing Ops Lead (Digital Marketing)
$167K–$270K
Office - USA - CA - Headquarters · Yes · Senior · Full-time · Posted Sep 14, 2026
- Experience
- Extensive progressive experience required; no specific number of years stated.
- Visa sponsorship
- No immigration sponsorship; applicants will not be sponsored for work visas for this position.
About the job
Leads the design and operation of the global marketing technology and data ecosystem, enabling real-time digital acquisition, omnichannel orchestration, AI-driven automation, and scalable marketing operations.
What you'll do
- Architect and oversee the MarTech stack, coordinating solution design and implementation with IT and Engineering.
- Lead technical evaluation of vendors and use cases, and guide Customer Data Platform development and implementation.
- Establish scalable operational processes and enforce data quality, governance, privacy, and compliance across digital acquisition.
What they ask for
- Extensive progressive experience in MarTech, Marketing Operations, or Digital Marketing, with a record of leading technical initiatives.
- Extensive experience designing and implementing scalable data infrastructure for real-time decisioning.
- Expert knowledge of MarTech integrations, including CDPs, CRMs, and data warehouses.
- Fluency in AI/ML, Generative AI, and predictive modeling for real-time data orchestration; ability to translate business objectives into technical requirements and user stories; understanding of global data privacy and compliance standards.
Nice to have
- Agile program management experience driving large-scale cross-functional technical projects.
- Success integrating and scaling marketing automation, CRM, predictive analytics, and data enrichment solutions.
Pay
$167,000.00 - $270,500.00/yr USD (base salary)
Tools
Salesforce, Snowflake, BigQuery, CDP, CRM, AI/ML, Generative AI
AI focus
Use AI/ML, Generative AI, and predictive modeling for real-time data orchestration; enable agentic automation, AI deployment, and intelligent workflows.
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