Senior Manager, Data Engineering

Vanguard • Charlotte, NC

15d • Hybrid

About The Position

Vanguard is seeking a Senior Manager, Data Engineering to lead and develop a team of managers, technical leads, and engineers. This role owns the end-to-end lifecycle of enterprise data products and platforms, ensuring scalability, reuse, quality, and measurable business value. The position involves directing the planning, prioritization, and execution of data product roadmaps and engineering initiatives aligned with business outcomes and enterprise strategy. Responsibilities include establishing and enforcing data quality, governance, and observability practices, partnering with senior leaders to shape data strategy, and evaluating modern data technologies. This role also participates in special projects and performs other duties as assigned. Vanguard operates on a hybrid working model, emphasizing a mission-driven and collaborative culture focused on long-term client outcomes and employee enrichment.

Requirements

• 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 partnering with business and technical stakeholders to define requirements and deliver data solutions.
• Experience translating business needs into data engineering solutions or products.
• Proven track record delivering data initiatives in complex or ambiguous environments.
• Experience with modern data engineering technologies and cloud platforms (e.g., AWS or similar).
• Hands-on or leadership experience with data modeling, data quality, and data management practices.

Nice To Haves

• Graduate degree preferred.
• Exposure to modern data platforms (e.g., data lakes, real-time systems, Databricks).
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and analytics workflows.
• Experience making decisions in ambiguous or high-stakes environments.
• Deep understanding of data and analytics principles, including data quality and modeling.
• Experience making decisions in ambiguous or high-stakes environments.
• Experience driving change and influencing adoption across teams.

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 quality, governance, and observability practices, ensuring data integrity, consistency, and trust across the data ecosystem.
• Partners with senior leaders and cross-functional teams to shape data strategy, influence operating models, and deliver high-impact, outcome-based solutions.
• Evaluates and implements modern data technologies and architecture patterns to improve scalability, performance, and developer experience while fostering innovation and continuous improvement.
• Participates in special projects and performs other duties as assigned.

Benefits

• Hybrid working model
• Teamwork culture
• Client-focused approach

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: Associate degree