Role Overview: The Chief Data Architect for Advice & Wealth Management shapes and evolves the data architecture underpinning advice delivery, client relationships, and wealth operations. This role ensures data platforms, models, and controls enable regulatory compliance, adviser productivity, superior client outcomes, and future AI-driven capabilities.
Partnering closely with business, product, and engineering teams, the Chief Data Architect provides architectural leadership across AWS-based platforms to deliver practical, business-focused outcomes.
Key Accountabilities - Define and execute the data architecture roadmap for Advice & Wealth Management.
- Lead householding and adviser teaming models to enable capabilities including unified household management.
- Advance architecture to support AI and analytics use cases relevant to advice workflows.
- Strengthen regulatory reporting, data lineage, and auditability.
- Improve operational data quality across client, advisor, portfolio, and advice domains.
- Govern AWS-native data platforms, including lakes and relational/NoSQL stores.
- Establish integration patterns for internal systems and third-party data via APIs and microservices.
- Set pragmatic data standards tailored to the advice and wealth domain.
- Models, defines, transforms, integrates and provides data architecture solutions from varying sources and in useable form to analytical tools and users.
- Coaches and mentors more junior architects, and establishes relationships with IT leaders, architects, and technical specialists for the purpose of advancing proposed architectural solutions.
- Participates in special projects and performs other duties as assigned.
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Experience & Capabilities - Deep experience in advice, wealth management, or related financial services.
- Expertise in data modelling for in the wealth management domain.
- Proven ability to design architecture supporting regulatory reporting and controls.
- Hands-on knowledge of AWS data services and cloud-native patterns.
- Experience enabling analytics and AI through governed, high-quality data.
- Ability to influence senior stakeholders and collaborate across business and technology.
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What Success Looks Like - AWM platforms aligned to a clear, business-focused data architecture.
- Trusted householding and teaming models consistently applied.
- Improved data quality, regulatory confidence, and operational efficiency.
- AWS-native foundations enabling innovation and growth.
Major priorities for the role will include:
- Operational DQ / getting our arms around incidents like SRM
- Data modeling and leading our householding efforts
- Having perspectives on technologies such as Supergraph
- Experience integrating multiple third-party platforms
- Experience of designing data architectures to support highly critical reporting and analysis (e.g., regulatory)
- Experience with securities data
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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