Senior Data Engineering Manager

Vanguard; Charlotte (NC); Hybrid; USD 170,000 - 230,000; Full time

Job summary

Vanguard is seeking a Senior Data Engineering Manager to lead a team of managers, technical leads, and engineers in building and scaling enterprise-grade data products and platforms. You will own end-to-end data product lifecycles, drive roadmaps, and ensure data quality, governance, and observability across the data ecosystem.

You will collaborate with senior leaders to define strategy, guide cross-functional initiatives, and deliver scalable data solutions that enable self-service analytics

Qualifications

• Ten years’ business or technical experience including people management.
• Undergraduate degree; graduate degree preferred.
• Experience leading data engineering teams delivering scalable data solutions.
• Experience partnering with business and technical stakeholders to define requirements and deliver data solutions.

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 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 design and development of scalable data pipelines, platforms, and frameworks for self-service consumption and insight generation from large datasets.
• Establishes and enforces data quality, governance, and observability practices ensuring data integrity and trust.
• Partners with senior leaders 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.
• Participates in special projects and performs other duties as assigned.

Skills

Data engineering leadership

AWS

Databricks

Data lakes

Real-time data processing

Data governance

Data quality

Stakeholder management

Education

Bachelor's degree

Graduate degree preferred

Tools

Databricks

Tableau

Power BI

AWS

Job 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.

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.

Required Qualifications:

• 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.

Preferred Qualifications:

• Graduate degree preferred.
• Familiarity with data visualization tools (e.g., Tableau, Power BI) and analytics workflows.
• Experience driving change and influencing adoption across teams.

Sponsorship

Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission-we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.