Capital Group
Capital Group
5,001 – 10,000 Employees
H1B Visa SponsorB2CFinanceFintech
Founded in 1931, Capital Group is a global investment management firm serving millions of investors. The company operates across multiple countries and provides investment solutions designed to support a wide range of client financial goals and needs.

Cybersecurity Data Engineering Manager

Lead cybersecurity data engineering, SIEM platforms, and analytics strategy at Capital Group. Guide technical teams in turning security data into intelligence that helps reduce organizational risk.

Description

  • Set the strategy for cybersecurity analytics, security data engineering, and security intelligence.
  • Lead teams of cybersecurity data scientists, data engineers, and security engineers.
  • Oversee enterprise-scale SIEM engineering and security data pipelines.
  • Create security data models, dashboards, and data ingestion and integration frameworks.
  • Develop advanced analytics and reporting to help reduce organizational risk.
  • Turn security telemetry, operational data, threat intelligence, vulnerability data, cloud security signals, identity data, and business context into actionable intelligence.
  • Support data-informed cybersecurity decisions.
  • Direct complex, large-scale programs with significant organizational impact.
  • Contribute to executive reporting, regulatory examinations, and audit requirements.

Requirements

  • Demonstrated experience leading data scientists, data engineers, or security data professionals.
  • A track record of leading complex programs with substantial organizational impact.
  • Ability to influence stakeholders and build consensus with senior leaders.
  • In-depth knowledge of cybersecurity, 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 grasp of cybersecurity KPIs, KRIs, operational metrics, and risk analytics frameworks.
  • Extensive experience developing large-scale data pipelines, streaming architectures, and data integration platforms.
  • Expertise designing security-focused data models and analytical data structures.
  • Experience managing enterprise-scale security telemetry and observability platforms.
  • Strong knowledge of data governance, metadata management, lineage, data quality, and regulatory requirements.
  • Expertise in cloud-native data architectures and modern data platform design.
  • Proficiency in Python and SQL.
  • Experience with AWS, Snowflake, Databricks, or comparable cloud-native technologies.
  • Experience with Cribl, Fluentd, OTEL, or comparable observability technologies.
  • Experience with dashboard and data visualization tools.
  • Strong understanding of cloud infrastructure, distributed computing, and enterprise-scale analytics environments.
  • Experience building and managing SIEM, security data lake, observability, and threat intelligence systems.
  • At least 12 years of experience in cybersecurity analytics, data science, data engineering, security operations, or a related discipline.
  • Bachelor’s degree in cybersecurity, computer science, or a related field.
  • At least 5 years of experience 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.

Benefits

  • Competitive salary.
  • Individual annual performance bonus.
  • Annual bonus based on Capital Group’s profitability.
  • Retirement plan with a company contribution of 15% of eligible earnings.
  • Generous time away and health benefits starting on day one.
  • Flexible work options.
  • Two-for-one matching for charitable donations.
  • Opportunity to obtain annual grants for charitable organizations.
  • On-demand professional development resources.
  • Company-funded retirement contribution.

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