Cybersecurity Data Engineering Manager

“I can be myself at work.”
You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness—and we’re committed to fostering a strong sense of belonging in a respectful workplace.
We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.
“I can influence my income.”
You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You’ll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses.
“I can lead a full life.”
You bring unique goals and interests to your job and your life. Whether you’re raising a family, you’re passionate about where you volunteer, or you want to explore different career paths, we’ll give you the resources that can set you up for success.
Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options
Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love
Access on-demand professional development resources that allow you to hone existing skills and learn new ones
“I can succeed as a Cybersecurity Data Engineering Manager at Capital Group.”
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 dta 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.
“I am the person Capital Group is looking for.”
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.
“I can apply in less than 4 minutes.”
You’ve reviewed this job posting and you’re ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn’t what you’re looking for, check out our other opportunities and join our talent community.