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About the Role

We are seeking a senior-level Cybersecurity Data Science and Analytics Lead to shape and scale the use of security data across the organization. This role involves partnering with cybersecurity experts to understand challenges, frame analytical questions, and develop actionable insights. The ideal candidate will possess a strong blend of cybersecurity domain knowledge, data science experience, product thinking, and the ability to lead independently.

Responsibilities

Partner with cybersecurity and technology stakeholders to identify, frame, and solve complex analytical problems.
Translate security challenges into clear data science, analytics, and engineering solutions.
Develop analytical products that support meaningful business and security decisions.
Create reusable data products, self-service capabilities, and scalable analytical solutions.
Help determine the best delivery model for security analytics, including dashboards, reusable datasets, advanced analytics, and potential AI-enabled solutions.
Provide analytical support across application security and infrastructure security domains.
Evaluate security data and determine the appropriate analysis, methodology, and delivery approach.
Build trusted relationships with security subject matter experts through practical, applied cybersecurity knowledge.
Lead projects independently and take ownership of solutions from initial problem definition through delivery.
Communicate findings, recommendations, and technical decisions clearly to technical teams and senior leadership.
Contribute to the continued development of the organization’s cybersecurity data and analytics strategy.

Requirements

Approximately 10 or more years of relevant professional experience, with flexibility based on the depth and quality of the candidate’s background.
Strong applied cybersecurity experience, particularly within application security and infrastructure security.
Advanced data science, analytics, or statistical analysis experience.
Experience working with CI/CD toolchains and secure software development lifecycle practices.
Knowledge of SaaS and data-as-a-service environments.
Experience with cloud-native monitoring and security tools.
Familiarity with endpoint protection technologies.
Ability to work with security data, frame analytical problems, and determine the appropriate analysis or solution.
Experience developing scalable analytical products rather than only producing one-time reports or dashboards.
Strong communication and stakeholder-management skills.
Ability to work independently, take ownership, and lead projects with limited direction.
Experience presenting technical findings and recommendations to leadership.
Experience designing reusable data products or self-service analytics capabilities.
Experience applying AI or machine learning to analytics or cybersecurity use cases.
Background supporting enterprise information security or CISO organizations.
Experience working across cybersecurity engineering and data science teams.
Product management or analytical product development experience.
Knowledge of security data associated with cloud platforms, applications, infrastructure, and endpoints.

Location

New York City
Charlotte, NC
Los Angeles, CA
Southern California
Remote

Work Type

Flexible hybrid
Remote

Experience Level

Senior-level
10 or more years of relevant professional experience