Lead Vanguard's data engineering team for vulnerability management. Build scalable security data pipelines and partner with security and risk stakeholders.
Responsibilities
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.
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.
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.
Requirements
Bachelor’s degree in Computer Science, Engineering, Data Science, or related discipline.
7+ years of experience in data engineering or security engineering.
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.
Experience with cloud-native data platforms and tools (preferred).
Knowledge of common security and vulnerability management tools (e.g., scanning platforms, posture management systems) (preferred).
Understanding of quantitative risk or posture reporting frameworks (preferred).
Strong track record of building high-performing engineering teams (preferred).
Sponsorship: Vanguard is not offering visa sponsorship for this position.
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.
Hybrid working model designed to capture benefits of flexibility while enabling in-person collaboration.
Job title
Manager, Data Engineering – Vulnerability Management
Data Engineer designing and optimizing data pipelines using Databricks and Google Cloud Platform. Collaborating with analysts and scientists to deliver high - quality data products.
Data Engineer responsible for building scalable data infrastructure that supports data - driven decisions. Collaborating with team to maintain systems and unlock data value for organizations.
Associate Data Engineer supporting privacy engineering controls and executing privacy impact assessments in a financial services company. Collaborating across business units to ensure alignment with privacy regulations.
Data Engineer at CVS Health optimizing data pipelines and analytical models. Driving data - driven decisions with healthcare data for improved business outcomes.
Senior Data Engineer at CVS Health developing robust data pipelines for healthcare data. Collaborating with teams to provide actionable insights and integrate them with consumer touchpoints.
Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
Data Architect leading the definition and construction of cloud data architecture for Kyndryl. Participating in significant technological modernization initiatives, focusing on Google Cloud Platform.
Senior Data Engineer driving data intelligence requirements and scalable data solutions for a global consulting firm. Collaborating across functions to enhance Microsoft architecture and analytics capabilities.
Experienced AI Engineer designing and building production - grade agentic AI systems using generative AI and large language models. Collaborating with data engineers, data scientists in a tech - driven company.
Intermediate Data Engineer designing and building data pipelines for travel industry data management. Collaborating across teams to ensure reliable data for analytics and reporting.