Architect of AI-Driven Data Platforms

Vanguard; Malvern (Chester County); Hybrid; USD 180,000 - 250,000; Full time

Job summary

Vanguard seeks a Senior Manager, AI & Data Engineering to lead teams building governed data products and AI-ready semantic intelligence that power marketing, analytics, and personalization across the Participant Financial Success ecosystem.

The role owns strategy, roadmap, and execution of scalable data and AI platforms, partnering across business, product, and technology to deliver measurable outcomes with strong data quality and security.

Qualifications

• Bachelor's degree or equivalent; advanced degree preferred.
• 10+ years in data engineering, data management, analytics, AI/ML engineering or related tech.
• Experience leading managers and distributed teams, with vendor partners.
• Proven enterprise data strategies and AI-enabled solutions delivery.
• Cloud-native data ecosystems using AWS (S3, Glue, EMR, Redshift, Lambda, Athena).

Responsibilities

• Lead and develop data engineering, AI engineering, and data management teams.
• Define strategy, roadmap, and delivery model for enterprise data products and AI platforms.
• Build scalable, governed data products enabling analytics, personalization, and insights.
• Advance AI-ready data foundations: metadata, lineage, and business context.
• Oversee cloud-native data platforms, pipelines, lakehouse architectures, and DataOps/MLOps.
• Partner with senior leaders to prioritize investments and maximize business impact.
• Establish standards for data governance, privacy, security, and compliant operations.
• Recruit and grow top talent, fostering innovation and accountability.

Skills

Leadership

Strategy & Roadmap

AWS Cloud

Data Governance

MLOps

AI Platforms

Stakeholder Mgmt

Executive Communication

Databricks

SageMaker

Education

Bachelor's degree or equivalent

Advanced degree preferred

Tools

Databricks

Apache Iceberg

Kafka/Confluent

SageMaker

Job description

Vanguard seeks a Senior Manager, AI & Data Engineering to lead teams building governed data products and AI-ready semantic intelligence that power marketing, analytics, and personalization across the Participant Financial Success ecosystem.

The role owns strategy, roadmap, and execution of scalable data and AI platforms, partnering across business, product, and technology to deliver measurable outcomes with strong data quality and security.