Senior Cybersecurity Data Science & Analytics Lead
At a glance
Senior Security Operations & Analysis role at TSG Risk Management. Remote, United States · full-time · no salary stated · we estimate $136,481–$190,750.
TSG Risk Management has not published a salary for this role. The figure below is our estimate, not theirs.
remoteroles summary, based on the employer's posting.
What you'll do
- Work with cybersecurity and technology partners to frame difficult questions and shape data science, analytics or engineering responses
- Create reusable security data products and self-service tools that support decisions beyond one-time reports or dashboards
- Select suitable ways to deliver security analysis, including dashboards, reusable datasets and advanced or AI-enabled approaches
- Evaluate application and infrastructure security data, then choose the right analytical methods and outputs
- Take projects from defining the problem through delivery, sharing findings and recommendations with technical teams and senior leaders
What you bring
- At least about ten years of relevant professional experience, with the threshold flexible for the strength of your background
- Applied cybersecurity work in application and infrastructure security, alongside advanced data science, analytics or statistical analysis experience
- Experience with CI/CD toolchains, secure software development practices, and SaaS or data-as-a-service environments
- Experience using cloud-native monitoring and security tools, plus familiarity with endpoint protection technology
Who this fits
This senior role suits someone who combines cybersecurity knowledge with data science and can lead work independently through delivery. New York City is preferred; candidates near Charlotte, Los Angeles or Southern California may also be considered. Remote candidates should be prepared for periodic trips, potentially monthly, to New York City or a different company office.
From the employer
Location: New York City preferred. Candidates located near other major offices, including Charlotte, NC, Los Angeles, CA, and Southern California, will also be considered. Remote candidates are welcome to apply but should be open to periodic travel, potentially once per month, to New York City or another company office.
Work Model: Flexible hybrid or remote
Position Overview
We are seeking a senior-level Cybersecurity Data Science and Analytics Lead to help shape and scale how security data is used across the organization.
This role goes beyond building dashboards. The ideal candidate will partner directly with cybersecurity subject matter experts to understand complex security challenges, frame the right analytical questions, and develop solutions that provide meaningful, actionable insights.
The successful candidate will bring a strong combination of cybersecurity domain knowledge, data science experience, product thinking, and the ability to lead work independently. This individual should be comfortable challenging assumptions, recommending solutions, and translating security needs into scalable analytical products.
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.
- Move beyond traditional dashboard delivery by creating 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.
Required Qualifications
- 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.
Preferred Qualifications
- 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.
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