Technical Data Operations Analyst

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!

Job Summary

We are seeking a Technical Data Operations Analyst responsible for overseeing the E2E marketing data flow and partnering with IT and BI to operationalize insights through AI agents and workflows. 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 operations contact to ensure our technology foundation actively supports aggressive global business growth.

Key Responsibilities:

• Data Knowledge Base:Serve as a key point of contact for the marketing technology stack-partnering with BI and IT to support operational insights.

• Privacy Coordinator:Serve as the marketing privacy coordinator and support privacy compliance initiatives in partnership with legal and privacy.

• Data Governance:Act as the marketing data steward to support data governance and operational transparency

• Customer 360:Support the operationalization of Customer 360 on CDP and enable unified segmentation on unified profiles.

• AI Implementation:Assist in operationalizing data models and AI by partnering with BI, Analytics, AdTech, and IT.

• Operational Analysis:Perform quantitative operational analysis and modeling across the marketing landscape and support the execution of optimization programs leveraging AI.

• Process Efficiency:Contribute to best practices for efficient and effective data operations.

• Process Documentation:Document and support the implementation of scalable operational processes (SLAs, governance) that optimize workflow efficiency, productivity, and quality across digital operations.

Qualifications

Qualifications

• Experience in Marketing Operations or Digital Marketing roles, with a track record of supporting technical initiatives.

• Practical experience contributing to the design and implementation of data infrastructure that meets the demands of real-time decisioning.

• Strong working knowledge of technical integrations across the MarTech stack, including CDPs, CRMs (e.g., Salesforce), and internal data warehousing solutions (e.g., Snowflake, BigQuery).

• Hands-on experience with key operations and orchestration platforms: LeanData, Demandbase, and Allocadia.

• Technical proficiency in utilizing AI/ML, Generative AI, and predictive modeling for real-time data orchestration.

• Demonstrated ability to translate business objectives into technical requirements and user stories (PRDs), assisting with development backlog management alongside internal engineering teams.

• Strong project management skills, utilizing agile methodologies to help coordinate cross-functional technical projects.

• Clear understanding and practical application of global data privacy and compliance standards (GDPR, CCPA, etc.) and their impact on data usage.

Preferred Qualifications

• Proficiency in utilizing SQL and Python for advanced data analysis, modeling, and automated data quality audits.

• Ability to lead at the intersection of business and technology with a passion for marketing technology, clearly differentiating marketing ecosystem needs from traditional IT infrastructure.

• Demonstrated success integrating and scaling comprehensive technology solutions: Marketing Automation, CRM, Predictive Analytics, and Data Enrichment.

• Strong cross-functional relationship development skills, specifically in establishing effective program management processes between Marketing and IT.

• Comfort with accountability and the ability to navigate ambiguity and manage competing priorities.

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.

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 [email protected].

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.