About The Position

Global Risk and Security (GR&S) at Vanguard enables business strategy, protects client and Vanguard interests (e.g., assets and data), and stewards a strong risk culture. Our teams leverage enterprise-wide insights, deep expertise, and trusted advice so that across Vanguard leaders and crew drive faster, stronger, risk-informed decisions. Within GR&S, the Enterprise Security and Fraud (ES&F) sub-division is responsible for the global protection of Vanguard crew, property, data, and client assets. We are the trusted advisors that protect the pride of Vanguard with state-of-the-art security and fraud capabilities. We are a world-class destination of highly engaged, passionate, and diverse talent expected to continuously learn and develop in an ever-changing security landscape. Our crew are our greatest resource – by joining our team you will build collaborative long-term relationships and enjoy a suite of benefits that includes comprehensive health and wellness care, work-life balance, and an investment in your future at its core.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, Data Science, or related discipline.
  • 7+ years of experience in data engineering or security engineering, with at least 3+ years in a leadership role.
  • Demonstrated expertise with modern data engineering practices (ETL/ELT, data pipelines, APIs, automation).
  • Familiarity with vulnerability management or security data domains.
  • Strong leadership and communication skills, with the ability to guide engineers and collaborate with stakeholders.

Nice To Haves

  • Experience with cloud-native data platforms and tools.
  • Knowledge of common security and vulnerability management tools (e.g., scanning platforms, posture management systems).
  • Understanding of quantitative risk or posture reporting frameworks.
  • Strong track record of building high-performing engineering teams.

Responsibilities

  • Leadership & Team Development Build, mentor, and lead a team of data engineers supporting enterprise vulnerability management. Establish clear objectives, success metrics, and career development opportunities for team members. Foster a culture of innovation, accountability, and continuous improvement.
  • Data Engineering & Platform Ownership Oversee the design and implementation of data pipelines that ingest, normalize, and integrate security data from multiple sources. Ensure data quality, consistency, and timeliness for reporting and analytics use cases. Partner with platform owners and security teams to ensure proper integration of vulnerability and posture data. Guide the team in adopting best practices for data engineering, automation, and reliability.
  • Program & Stakeholder Partnership: Collaborate with vulnerability management, application security, and risk functions to ensure data supports decision-making at all levels. Translate program requirements into scalable data engineering solutions. Provide regular updates on team progress, data quality, and program enablement.

Benefits

  • Opportunity to establish and scale a specialized data engineering team at enterprise level.
  • A culture that values innovation, collaboration, and professional growth.
  • Competitive compensation and benefits, with opportunities for advancement.
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