Cybersecurity Data Engineering Manager

Cybersecurity Data Engineering Manager

The Cybersecurity Engineering / Data Science Manager is a leader responsible for defining and executing the cybersecurity analytics, security data engineering, and security intelligence strategy for the organization. This role combines deep expertise in cybersecurity, data engineering, analytics, and cloud-native data platforms with strong people leadership and program management capabilities.

This role places significant emphasis on SIEM engineering and operating enterprise-scale security data pipelines, data models, dashboards, managing data ingestion and integration frameworks, and building advanced analytics and reporting to reduce risk to the firm.

The manager leads a team of cybersecurity data scientists, data engineers, and security engineers responsible for transforming security telemetry, operational data, threat intelligence, vulnerability data, cloud security signals, identity data, and business context into actionable intelligence to enable data driven decisions.

Leadership

• You have proven leader of data scientists, data engineers, or security data professionals.
• You have demonstrated ability to lead large, complex programs with significant organizational impact.
• You have strong stakeholder influence and consensus-building with senior leadership

Security Analytics and Data Science

• You have deep knowledge of cybersecurity principles, cyber risk measurement, security operations, threat detection, vulnerability management, cloud security, and security telemetry.
• You have expertise in statistical modeling, machine learning, predictive analytics, anomaly detection, and behavioral analytics.
• You have strong understanding of cybersecurity KPIs, KRIs, operational metrics, and risk analytics frameworks.

Security Data Architecture and Engineering

• You have deep expertise building large-scale data pipelines, streaming architectures, and data integration platforms.
• You have extensive experience designing security-focused data models and analytical data structures.
• You have experience managing enterprise-scale security telemetry and observability platforms.
• You have strong understanding of data governance, metadata management, lineage, quality management, and regulatory requirements.
• You have expertise in cloud-native data architectures and modern data platform design.

Technical Expertise

• You have proficiency in Python and SQL.
• You have experience with cloud native technologies AWS, Snowflake, Databricks, or similar.
• You have experience with observability technologies like Cribl, Fluentd, OTEL or similar.
• You have experience with dashboarding and visualization technologies.
• You have strong understanding of cloud infrastructure, distributed computing, and enterprise-scale analytics environments.
• You have experience with building and managing security data platforms such as SIEM, security data lakes, observability platforms, and threat intelligence systems.
• You have 12+ years of experience in cybersecurity analytics, data science, data engineering, security operations, or related disciplines.
• You have a Bachelor's degree in Cybersecurity, Computer Science, or a related field.
• You have 5+ years leading technical teams.
• You have experience building security data lakes and enterprise-scale security analytics platforms.
• You have experience supporting AI-enabled security initiatives and cyber risk measurement programs.
• You have experience supporting executive reporting, regulatory examinations, and audit requirements.

Charlotte Base Salary Range: $173,072-$276,915

New York Base Salary Range: $213,795-$342,072

In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.