Job Description
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.
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