Cybersecurity Data Engineering Manager

Capital Group Companies is hiring a Cybersecurity Data Engineering Manager in New York, NY. This onsite role focuses on creating and delivering the organization’s cybersecurity analytics and security intelligence capabilities, with a strong emphasis on SIEM engineering and enterprise-scale security data pipelines.

In this position, you will lead a team working across security telemetry, operational data, threat and vulnerability information, cloud security signals, identity data, and business context. The goal is to convert those inputs into actionable intelligence that supports data-driven decisions and helps reduce risk to the firm.

Responsibilities

• Define and execute the cybersecurity analytics, security data engineering, and security intelligence strategy for the organization.
• Lead a team of cybersecurity data scientists, data engineers, and security engineers to transform security telemetry, operational data, threat intelligence, vulnerability data, cloud security signals, identity data, and business context into actionable intelligence for data-driven decision-making.
• Emphasize SIEM engineering and the operation of enterprise-scale security data pipelines, including data models and dashboards.
• Manage data ingestion and integration frameworks and build advanced analytics and reporting to reduce risk to the firm.

Requirements

• Proven leadership of data scientists, data engineers, or security data professionals.
• Demonstrated ability to lead large, complex programs with significant organizational impact.
• Strong stakeholder influence and consensus-building with senior leadership.
• Deep knowledge of cybersecurity principles, cyber risk measurement, security operations, threat detection, vulnerability management, cloud security, and security telemetry.
• Expertise in statistical modeling, machine learning, predictive analytics, anomaly detection, and behavioral analytics.
• Strong understanding of cybersecurity KPIs, KRIs, operational metrics, and risk analytics frameworks.
• Deep expertise building large-scale data pipelines, streaming architectures, and data integration platforms.
• Extensive experience designing security-focused data models and analytical data structures.
• Experience managing enterprise-scale security telemetry and observability platforms.
• Strong understanding of data governance, metadata management, lineage, quality management, and regulatory requirements.
• Expertise in cloud-native data architectures and modern data platform design.
• Proficiency in Python and SQL.
• Experience with cloud native technologies such as AWS, Snowflake, Databricks, or similar.
• Experience with observability technologies like Cribl, Fluentd, OTEL, or similar.
• Experience with dashboarding and visualization technologies.
• Strong understanding of cloud infrastructure, distributed computing, and enterprise-scale analytics environments.
• Experience building and managing security data platforms including SIEM, security data lakes, observability platforms, and threat intelligence systems.
• 12+ years of experience in cybersecurity analytics, data science, data engineering, security operations, or related disciplines.
• Bachelor’s degree in Cybersecurity, Computer Science, or a related field.
• 5+ years leading technical teams.
• Experience building security data lakes and enterprise-scale security analytics platforms.
• Experience supporting AI-enabled security initiatives and cyber risk measurement programs.
• Experience supporting executive reporting, regulatory examinations, and audit requirements.

Technologies

• Python, SQL
• AWS, Snowflake, Databricks
• Cribl, Fluentd, OTEL
• SIEM
• Security data lakes, observability platforms, threat intelligence systems
• Dashboarding and visualization technologies

Benefits

• Generous time-away and health benefits from day one, with the opportunity for flexible work options.
• 2-for-1 matching gifts for charitable contributions and the opportunity to secure annual grants for organizations you love.
• Access to on-demand professional development resources.
• Competitive salary, bonuses and benefits.
• Company-funded retirement contribution, including a retirement plan where Capital contributes 15% of eligible earnings.
• Individual annual performance bonus plus Capital’s annual profitability bonus, factoring into retirement contributions.

Compensation: USD 173,072 - 342,072 per year.