Senior Manager, AI and Data Engineering
Core
Leads teams to build and operate reusable, governed data products and AI-ready semantic intelligence enabling enterprise data integration, analytics, personalization, and decision-making for Vanguard's Participant Financial Success ecosystem.
Role type
Senior Manager, AI and Data Engineering
Builds
Scalable cloud-native data platforms, pipelines, lakehouse architectures, and AI-powered analytics/conversational intelligence capabilities.
Domain
Financial Services / Data Engineering & AI
Deliverable
production ML models | product features | infrastructure
Required skills
Enterprise data strategy, leading large-scale engineering organizations, AWS cloud-native ecosystems, data governance and quality, DataOps/MLOps, AI/ML platform architecture, stakeholder management, program leadership.
Preferred skills
Databricks, Apache Iceberg, Kafka/Confluent, SageMaker, modern data observability platforms.
Technologies
AWS (S3, Glue, EMR, Redshift, Lambda, Athena), Databricks, Apache Iceberg, Kafka, Confluent, SageMaker.
Responsibilities
Lead and develop high-performing data/AI engineering teams; define and execute strategy for enterprise data products and AI platforms; build scalable cloud-native data ecosystems; establish AI-ready data foundations with semantic intelligence; drive modernization via DataOps/MLOps; partner with senior leaders to align delivery plans; enforce standards for data governance, security, and responsible AI; deliver AI-powered conversational intelligence; manage platform adoption and value realization metrics.
Seniority
Senior Manager, hands-on leadership
