Advice & Wealth Management Technology (AWMT) is seeking a Data Engineering Manager to lead a team delivering scalable data platforms and products that power personalized financial advice.
You will own delivery, engineering standards, and talent development while partnering across product, analytics, and ML teams to enable production-grade data and GenAI capabilities.
Responsibilities:
Lead a team of data engineers to build and operate scalable, reliable data pipelines and platforms
Drive engineering excellence (code quality, CI/CD, testing, observability, incident management)
Partner with product and analytics to prioritize and deliver high-impact data use cases
Own production support, incident response, and continuous improvement of data systems
Establish and scale DataOps practices across development and operations
Collaborate across AWMT D&A to enable data products that support personalization and analytics
Hire, develop, and grow engineering talent and future tech leads
End-to-end delivery and operation of data pipelines and platforms supporting advice products
Engineering quality, reliability, and standardization across your team
Talent development for data engineers and tech leads
Cross-team alignment with product, analytics, and ML engineering
Improving reliability and observability of production data pipelines
Driving adoption of consistent pipeline frameworks and engineering standards
Enabling scalable data foundations for ML and GenAI use cases
Strengthening team execution, prioritization, and stakeholder trust
Qualifications:
Experience leading data engineering teams delivering production data platforms
Strong understanding of modern data architectures and cloud-based data ecosystems
Track record of improving engineering quality, reliability, and delivery at scale
Experience partnering with product, analytics, and ML teams
Demonstrated ability to develop engineers and build high-performing teams
Cloud-native data platforms (AWS: S3, Glue, Athena, etc.)
Batch and event-driven data pipelines
Data modeling and large-scale data processing
Data platforms supporting ML and GenAI use cases
Observability, monitoring, and operational excellence for data systems
Minimum of eight years data analytics, programming, database administration, or data management experience.
Undergraduate degree or equivalent combination of training and experience. Graduate degree preferred.
Nice to have:
Exposure to ML or GenAI data workflows
Financial services or regulated environment experience
Special Factors
Sponsorship
Vanguard is 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.
Join us as we celebrate 50 years of empowering our 50 million investor-owners.* Since our founding in 1975, we’ve been on a mission to help investors achieve their goals.
With no outside shareholders to answer to, we make decisions—including keeping investing costs as low as possible—with our clients’ needs in mind. Whether you’re investing for your first house, college for your kids, or a comfortable retirement, you can be confident we’re on your side.
We are a community that thinks—and feels—differently about investing. Together, we’re changing the way the world invests. Let’s celebrate 50 years together.
Community guidelines: vgi.vg/sgl1
*As of January 2025
