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# Senior Data Engineering Manager

- **Company:** Vanguard
- **Location:** Malvern, PA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Big Data, Data Architecture, Information Engineering, Data Integration, Data Integrity, Dataspaces, Data Systems, Data Visualization, Power BI, Tableau (Software), Data Strategy, Data Lakes, Data Management, Stream Processing, Data Pipelines, Databricks
- **Published:** October 16, 2026
- **Apply:** http://www.vanguardjobs.com/job/23487114/senior-data-engineering-manager-malvern-pa/?utm_medium=%22mcloud%2Djobads%22&utm_campaign=Technology&utm_content=Senior%20Data%20Engineering%20Manager&utm_term=177777

## About the Role

* Minimum of ten years' business or technical experience including people management and data expertise.
 * Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
 * 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, cloud platforms (e.g., AWS), and contemporary data architectures, including data lakes, real-time data processing, and platforms such as Databricks.
 * Hands-on or leadership experience with data modeling, data quality, and data management practices., * Graduate degree preferred.
 * Familiarity with data visualization tools (e.g., Tableau, Power BI) and analytics workflows.
 * Experience driving change and influencing adoption across teams.

## Description

Personal Wealth is on a mission to transform how we help investors achieve better outcomes, using data and technology to deliver more personalized, intelligent experiences, financial products, and advice. At the heart of that transformation is a shift to an AI-first, agentic data and insights architecture that makes trusted data easier to discover, understand, and turn into action. As a Senior Data Engineering Manager, you will lead a team of leaders responsible for building and scaling trusted, reusable, and enterprise-grade data products that power analytics and decision making across the business. In this role, you'll help shape the future of our data ecosystem, creating the foundation that enables self-service analytics, trusted data consumption, and emerging AI and generative analytics capabilities. You'll partner with senior leaders across business and technology to define strategy, drive execution, and deliver modern data products that transform complex information into
actionable insights. Beyond technology, you'll build and develop a high-performing organization of engineering leaders and technical experts, fostering a culture of innovation, continuous improvement, and operational excellence. Your work will directly influence how data is leveraged across the enterprise to accelerate decision-making, unlock new opportunities, and deliver measurable business value., * 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.