Senior Manager, Data Engineering

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

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.