Senior Manager, AI and Data Engineering

Leads teams responsible for building and operating reusable, governed data products and AI-ready semantic intelligence that enable enterprise data integration, activation, analytics, and personalization across Vanguard's Participant Financial Success ecosystem. Oversees the delivery of scalable data, AI, and knowledge platforms that support human sales, marketing, digital experiences, strategic analytics, and AI-driven decisioning while ensuring data quality, governance, security, and operational excellence.

The Senior Manager, AI & Data Engineering leads teams responsible for building and operating reusable, governed data products and AI-ready semantic intelligence that enable enterprise data integration, activation, analytics, personalization, and decision‑making across Vanguard's Participant Financial Success ecosystem. This leader owns the strategy, roadmap, and execution of scalable data, AI, and knowledge platforms that support marketing, sales, digital experiences, strategic analytics, and AI‑powered insights.

Partnering closely with business, product, analytics, and technology leaders, the role translates data and AI investments into measurable business outcomes while ensuring data quality, governance, security, reliability, and operational excellence. Success in this role requires balancing long‑term strategy with hands‑on delivery leadership, building organizational capability, and advancing Vanguard's data and AI maturity through modern engineering practices and cloud‑native technologies.

This Hybrid Role (in office Tues‑Weds‑Thurs) is based in Malvern, PA or Charlotte, NC

• Lead and develop a high‑performing organization of data engineering, AI engineering, and data management professionals, providing coaching, performance management, career development, and succession planning.
• Define and execute the strategy, roadmap, and delivery model for enterprise data products, AI platforms, and knowledge assets aligned to Participant Financial Success business objectives.
• Build and scale reusable, governed data products that enable trusted analytics, reporting, personalization, marketing intelligence, sales enablement, and AI‑driven decision‑making.
• Establish AI‑ready data foundations by advancing semantic intelligence, metadata management, data lineage, knowledge layers, discoverability, and business context across critical data assets.
• Oversee the design, implementation, and operation of scalable cloud‑native data platforms, pipelines, services, and lakehouse architectures that support business, analytical, and AI workloads.
• Drive modernization initiatives through AWS‑based platforms, automation, Data Ops, MLOps, platform engineering, and emerging AI engineering capabilities.
• Partner with senior leaders across Participant Financial Success, Workplace Solutions, Technology, Product, and Analytics to prioritize investments, align delivery plans, and maximize business impact.
• Establish and enforce standards for data governance, quality, privacy, security, observability, compliance, responsible AI, and operational resilience.
• Lead initiatives that break down data silos and create connected data ecosystems, improving accessibility, interoperability, and enterprise‑wide data reuse.
• Deliver AI‑powered analytics and conversational intelligence capabilities that empower business users to generate trusted insights through natural language interactions.
• Manage platform adoption, reliability, service levels, operational performance, and value realization metrics to ensure solutions deliver measurable outcomes.
• Recruit and develop top talent while fostering a culture of innovation, continuous learning, engineering excellence, and accountability.
• Participate in special projects and perform other duties as assigned.

• Bachelor's degree or equivalent combination of training and experience required; advanced degree preferred.
• Minimum of ten years of progressive experience in data engineering, data management, analytics, AI/ML engineering, or related technology disciplines.
• Demonstrated experience leading managers and technical leaders within large‑scale engineering organizations, including…