AI & Data Platform Engineering Leader (Hybrid)

Vanguard

Charlotte (NC)

Hybrid

USD 180,000 - 240,000

Full time

15 hours ago
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Job summary

Vanguard seeks a Senior Manager of AI & Data Engineering to lead teams delivering reusable, governed data products and AI-ready semantic intelligence across the Participant Financial Success ecosystem. You will own strategy, roadmap, and execution of scalable data, AI, and knowledge platforms supporting marketing, sales, and analytics.

The role emphasizes data governance, security, and operational excellence, balancing long-term strategy with hands-on leadership in a hybrid environment based in

Qualifications

  • Bachelor's degree or equivalent; advanced degree preferred.
  • 10+ years in data/AI engineering or related tech.
  • Experience leading managers/technical leaders across large teams.
  • Proven success delivering enterprise data strategies and AI-enabled solutions.
  • Cloud-native data ecosystems with AWS technologies; data governance and security knowledge.

Responsibilities

  • Lead data engineering, AI engineering, and data management teams.
  • Define strategy, roadmap, and delivery model for data products and AI platforms.
  • Build scalable, governed data products enabling analytics and personalization.
  • Establish AI-ready data foundations with semantic intelligence and lineage.
  • Oversee cloud-native data platforms and lakehouse architectures; ensure reliability.

Skills

Data engineering leadership
Cloud platforms
AI/ML engineering
Stakeholder management

Education

Bachelor's degree
Advanced degree preferred

Tools

Databricks
SageMaker
Kafka/Confluent
Apache Iceberg
AWS data services

Job description

Vanguard seeks a Senior Manager of AI & Data Engineering to lead teams delivering reusable, governed data products and AI-ready semantic intelligence across the Participant Financial Success ecosystem. You will own strategy, roadmap, and execution of scalable data, AI, and knowledge platforms supporting marketing, sales, and analytics.

The role emphasizes data governance, security, and operational excellence, balancing long-term strategy with hands-on leadership in a hybrid environment based in

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