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NEXTMOVEFDE careers · United States
Vanguard

Senior Manager, Data Engineering

AI summary of the role

Senior Manager leading data engineering teams at Vanguard, responsible for enterprise data products and platforms.

What you’ll do

  • Leads and develops a team of managers, technical leads, and engineers, building a high-performing engineering culture.
  • Owns the end-to-end lifecycle of enterprise data products and platforms, ensuring scalability, reuse, and measurable business value.
  • Directs planning, prioritization, and execution of data product roadmaps aligned to business outcomes.
  • Leads design and development of scalable data pipelines and frameworks for large, complex datasets.

What you’ll bring

  • Minimum of ten years’ business or technical experience including people management and data expertise.
  • Undergraduate degree or equivalent combination of training and experience.
  • Experience leading data engineering teams and delivering scalable data solutions.
  • Experience with modern data engineering technologies and cloud platforms (e.g., AWS or similar).

Technologies

AWS · Databricks · data lakes · real-time systems · Tableau · Power BI · data modeling · data pipelines · data governance

About Vanguard

Investor-owned asset manager offering low-cost funds, ETFs, advice, and retirement services to individual, advisor, workplace, and institutional clients.

Bootstrapped · 5000+ people

Source and classification

Deployment team leadership · Evidence for this classification:

Responsibilities: Leads and develops a team of managers, technical leads, and engineers, building a strong leadership bench and high-performing engineering culture while setting performance standards, coaching, and supporting career development. Owns the end-to-end lifecycle of enterprise data products and platforms, including definition, development, delivery, and optimization, ensuring scalability, reuse, quality, and measurable business value. Directs planning, prioritization, and execution of data product roadmaps and engineering initiatives aligned to business outcomes and enterprise strategy, while driving adoption and reliability across domains. Leads the design and development of scalable data pipelines, platforms, and frameworks, enabling efficient data integration, self-service consumption, and insight generation from large, complex datasets. Establishes and enforces data
How jobs are selected

Employer postings · Data from · Sources