This role enables the foundational data layer for enterprise risk visibility and Responsible AI at scale. By delivering accurate, integrated, and timely data products, you help ensure Vanguard can monitor AI systems, track inventory, and manage supplier egress risk with confidence and precision. As a Data Engineer you will be responsible for designing, developing, and maintaining data pipelines and data products that enable enterprise insights, monitoring, and governance across Supplier Egress, the Enterprise GenAI Monitoring Function, and the GenAI Inventory.
This role focuses on executing ETL (Extract, Transform, Load) processes and integrating data from disparate systems, tools, and platforms to create reliable, scalable, and high-quality data assets. These data products support critical business capabilities including third-party risk visibility, AI system monitoring, inventory tracking, and governance reporting.
Role Context (Why This Role Exists)This role sits at the intersection of three critical enterprise capabilities:
1. Supplier Egress & Insights - Build datasets that unify data across internal systems and third-party integrations
- Enable visibility into where and how sensitive data (e.g., PII) is shared externally
2. Enterprise GenAI Monitoring Function - Enable ingestion, transformation, and aggregation of monitoring metrics, alerts, and system performance data
- Contribute to standardized, scalable monitoring datasets used for governance and incident management
3. GenAI Inventory - Build and maintain datasets supporting the enterprise inventory of AI systems (e.g., MGM, ServiceNow integrations)
- Enable tracking of system attributes (risk tier, ownership, compliance status, lifecycle stage)
- Support reconciliation and alignment across multiple systems of record
Key responsibilities - Integrate data from multiple enterprise systems (e.g., monitoring platforms, inventory systems, third-party tools)
- Translate requirements into queries, datasets, and reports
- Support both batch and near real-time data processing use cases
- Ensure pipelines are scalable, performant, and resilient
- Implement data validation, cleansing, and transformation logic to ensure accuracy and completeness
- Translate use cases (e.g., monitoring dashboards, inventory reporting) into data models and pipelines
- Support iterative development and refinement of data products
Required Skills
- SQL for querying, transformation and reporting
- Experience with Python or DETL tools for data preparation
- Familiarity with Data Platforms and reporting tools
- Data quality and data validation implementations
- Familiarity with version control and deployment pipelines
An informational will be held on 6/3 at 12:00 PM Microsoft Teams meeting Join: https://teams.microsoft.com/meet/273136031135663?p=aEqgklN88Q1FPLLpnP
Meeting ID: 273 136 031 135 663
Passcode: 72g4gJ2U
Special FactorsSponsorshipVanguard is not offering visa sponsorship for this position.
