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 and cloud platforms (e.g., AWS or similar).
- Hands-on or leadership experience with data modeling, data quality, and data management practices.
Preferred Qualifications:
- 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.
Special Factors
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.
Skills Required
- 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.
- 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.
- 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 driving change and influencing adoption across teams.
- Deep understanding of data and analytics principles, including data quality and modeling.
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.
