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.
Skills Required
- 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
- Exposure to ML or GenAI data workflows
- Financial services or regulated environment experience
Vanguard Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Vanguard and has not been reviewed or approved by Vanguard.
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Retirement Support — Retirement support appears unusually strong through a 401(k) design that includes a match plus an additional employer contribution, which can materially lift long-term total rewards. HSA seeding and an enhanced employer match further strengthen the savings-and-benefits value of the package.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle support is reinforced by a sizable annual FlexFund stipend that can be applied across many day-to-day categories such as fitness, childcare, and other personal expenses. On-site or virtual clinics and fitness options add practical health and wellness convenience.
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Affordable Benefits — Healthcare and related benefits are positioned as comparatively affordable via heavily subsidized medical plans and broad coverage options. This affordability can offset moderate base pay for employees who place higher value on out-of-pocket cost reductions.
Vanguard Insights
What We Do
We are a community of 30 million who think – and feel – differently about investing. Together, we’re changing the way the world invests. Since our founding in 1975, helping our investors achieve their goals is our sole reason for existence. With no other parties to answer to and therefore no conflicting loyalties, we make every decision—like keeping investing costs as low as possible—with only your needs in mind. Vanguard is one of the world's largest investment companies, offering a large selection of high-quality low-cost mutual funds, ETFs, advice, and related services. Individual and institutional investors, financial professionals, and plan sponsors can benefit from the size, stability, and experience Vanguard offers. As of April 30, 2019, we managed more than $5.6 trillion in global assets. In addition, we have 189 funds in the United States and 225 funds in global markets. For Commenting Guidelines & Important information, visit here: http://vanguard.com/linkedin Vanguard Marketing Corporation, Distributor.
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