Palo Alto Director Data Analytics Engineering 

United States, California 

922641192

Being the cybersecurity partner of choice, protecting our digital way of life.

Your Impact

• Strategic Partnership: Collaborate with senior leaders to translate their strategic priorities into a clear, actionable roadmap for the Data Analytics and Engineering team. You don’t just deliver on a project, you and your team are invested in getting your insights and solutions operationalized.

• Team Leadership & Development: Build, manage, and mentor a world-class team of analysts, data scientists, and data engineers, fostering a culture of extreme ownership and continuous learning.

• Deliver Actionable & Predictive Insights: Go beyond simple reporting to solve ambiguous business problems. You will guide the team in applying advanced analytics and machine learning to deliver predictive insights that drive tangible business outcomes.

• Own the End-to-End Data Lifecycle: Take full ownership of the data pipelines for critical business domains. You will be responsible for building and maintaining robust systems for data ingestion, transformation (ETL/ELT), modeling, quality, and governance to ensure data is accurate, accessible, and ready for analysis.

Your Experience

• Strategic Mindset: You are a strategic thinker who can partner with senior leadership to tackle complex, open-ended business problems with a rigorous, data-driven approach.

• Exceptional Technical & Business Depth: You have the ability to go deep into data architecture, data science models, and pipelines to guide technical teams effectively. You will use your deep business acumen, with demonstrated expertise in at least two of the following domains (Go-To-Market, Finance, or Product), to steer the product roadmap and guide executive decisions.

• Proven Leadership Experience: You have 12+ years of experience in data and analytics, with at least 8+ years in a leadership role, preferably in a fast-paced enterprise software environment. You have a demonstrated track record of leading and mentoring diverse technical teams.

• Player-Coach Mentality: You are a hands-on leader who can provide expert guidance to your team on everything from data architecture to advanced analytical methods.

• Excellent Communication Skills: You excel at translating business needs into technical requirements and communicating complex technical concepts to non-technical stakeholders.

• Technical Expertise:

  • Hands-on experience with data modeling, data architecture, and ETL/ELT processes.

  • Proficiency in data science, with prior experience deploying ML data products (e.g., classifiers, time series models, recommender systems).

  • Deep familiarity with modern data stacks (e.g., AWS/Azure/GCP/Snowflake).

  • Proficiency with BI and data visualization tools for telling stories with data.

Our shared mission to safeguard our digital way of life unites and drives us. You will join a multinational team building data and data science solutions to unlock significant business potential and boost productivity by resolving complex data problems. This involves developing innovative algorithms, predictive models, conducting advanced statistical analysis, and engineering scalable data pipelines. Your work will ultimately lead to data products and actionable insights that empower decision-making across the organization. You will be at the forefront of leveraging cutting-edge technologies and methodologies.

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/commissioned roles) is expected to be between $241,000/YR - $329,500/YR. The offered compensation may also include restricted stock units and a bonus. A description of our employee benefits may be found .

All your information will be kept confidential according to EEO guidelines.