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, cloud platforms (e.g., AWS), and contemporary data architectures, including data lakes, real-time data processing, and platforms such as Databricks. • Hands-on or leadership experience with data modeling, data quality, and data management practices. Preferred Qualifications: • Graduate degree preferred. • Familiarity with data visualization tools (e.g., Tableau, Power BI) and analytics workflows. • 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.