Cybersecurity Data Engineering Manager

Cybersecurity Jobs; New York (NY); On-site; USD 173,000 - 342,000; Full time

Benefits offered by this job

Time-off benefits

Health benefits

Charitable matching

Professional development

Salary & bonuses

Retirement plan 15%

Job summary

Capital Group Companies is seeking a Cybersecurity Data Engineering Manager to lead analytics and security intelligence efforts. This onsite role in New York focuses on enterprise-scale data pipelines, SIEM engineering, and turning telemetry into actionable intelligence for data-driven decisions.

You will guide a team of data scientists, data engineers, and security engineers, define strategy, and partner with senior leaders to reduce risk across the firm.

Qualifications

• Proven leadership of data scientists and security data professionals.
• Experience leading large programs with significant impact.
• Strong stakeholder influence with senior leadership.
• Deep knowledge of cybersecurity, cyber risk measurement, and threat detection.
• Expertise in data pipelines, analytics, and data models.

Responsibilities

• Define and execute analytics, data engineering, and security intelligence strategy.
• Lead a team to transform telemetry and threat data into actionable insights.
• Develop enterprise-scale security data pipelines and dashboards.
• Partner with senior leadership to drive risk-informed decisions.

Skills

Leadership

Data scientists

Data engineers

Security engineers

Stakeholder influence

Cybersecurity analytics

Education

Bachelor's degree in Cybersecurity or CS

Tools

AWS

Snowflake

Databricks

Cribl

Fluentd

OTEL

SIEM

Job description

Capital Group Companies is seeking a Cybersecurity Data Engineering Manager to lead the organization’s cybersecurity analytics and security intelligence efforts. This onsite role in New York, NY focuses on building enterprise-scale security data pipelines, strengthening SIEM engineering, and turning security telemetry and related data into intelligence that supports data-driven decisions. The position combines strategy, hands-on engineering leadership, and expertise across analytics, threat detection, and cyber risk measurement.

Role focus: define and execute cybersecurity analytics, security data engineering, and security intelligence strategy, with an emphasis on SIEM engineering and operating large-scale security data platforms.

Key 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.
• Emphasize SIEM engineering and enterprise-scale security data pipelines, including data models and dashboards, managing data ingestion and integration frameworks, and building advanced analytics and reporting to help reduce risk to the firm.

Requirements

• Proven leader 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 such as 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.
• 5+ years leading technical teams.
• Bachelor’s degree in Cybersecurity, Computer Science, or a related field.
• 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

Compensation

• USD 173,072 - 342,072 per year

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 the organizations you love
• Access on-demand professional development resources
• Competitive salary, bonuses and benefits
• Company-funded retirement contribution (retirement contribution will factor in salary and variable pay, including bonuses)
• Individual annual performance bonus plus Capital’s annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings