Senior Manager, Data Engineering

About this role

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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