Jobs at Vanguard

Provide platform operations and development support for cloud infrastructure. Troubleshoot and resolve technical issues, perform testing and code reviews, contribute to design and documentation, mentor staff, and promote automation, observability, and resiliency for AWS and Kubernetes-based services.

Support day-to-day community engagement across social channels: monitor, respond, escalate risks, use social listening tools, maintain brand voice, assist content operations, route approvals, moderate comments, and contribute to special projects under senior guidance in a regulated environment.

Design, build, and operate AWS cloud-native solutions using Python and CloudFormation. Lead cross-functional architecture, implement CI/CD, observability, security stacks, API integrations, and mentor engineers while balancing operational support.

Serve as the first point of contact, managing visitor check-in, front desk communications, meeting support, office operations, vendor coordination, and administrative assistance to ensure a welcoming, organized office environment.

Lead a data engineering team building and operating scalable data pipelines and platforms for personalized financial advice. Own delivery, engineering standards, observability, incident response, DataOps practices, and cross-team partnerships with product, analytics, and ML. Hire and develop engineers while enabling data foundations for ML and GenAI use cases.

Lead the vision, roadmap, and lifecycle for data products. Translate business needs into product requirements, drive metric standardization, ensure quality and governance, manage cross-functional delivery, and measure adoption and value while communicating strategy to IT executives.

Lead and grow a platform engineering team, drive platform maturity to enterprise scale, delegate and deliver strategic initiatives, partner on roadmap and strategy, and build cross-organizational trust while ensuring reliability, observability, and "you build it, you run it" ownership.

Design, build, and maintain scalable ETL/ELT pipelines and curated datasets using SQL, Python, and AWS services. Implement data quality, monitoring, CI/CD, and documentation; partner with stakeholders to support reporting, analytics, and self-service data products.

The role involves designing, building, and deploying cloud-based identity services using a full-stack approach, focusing on authentication and MFA platforms.

Design and lead end-to-end user experiences across web and mobile for retirement and financial wellbeing products. Partner with product, tech, research, and analytics to translate user insights into scalable UX solutions, prototypes, and documentation. Advocate user-centered design, run workshops, mentor junior designers, and align UX efforts with business goals and metrics.

Develop, test, and deploy backend applications and databases; translate specifications into code; optimize system performance and data pipelines; support integrations and production releases; maintain documentation and apply secure development practices while collaborating with cross-functional teams.

Lead and grow engineering teams building Vanguard's digital marketing web platforms using the Adobe Experience Cloud. Drive technical strategy, scalability, personalization, and operational excellence while partnering with Product, UX, Data, and cross-channel teams. Ensure security, regulatory compliance, modern engineering practices, and mentor future leaders.

Lead and develop a team of financial advisors serving high-net-worth clients, oversee client engagement and shared book management, collaborate with investment, estate, tax, and trust partners, drive business growth and client retention, ensure regulatory compliance and fiduciary standards, use data to measure team performance, provide coaching, and support process improvements and special projects.

Manage tax compliance for Funds and Corporates, perform quarterly and year-end tax provisions, maintain tax risk management, partner with accounting teams, and handle tax inquiries.

Design, build, and deploy scalable Generative AI, Agentic AI, ML, and RAG-based solutions using Python and AWS. Implement agent frameworks (LangChain, LangGraph, AutoGen, etc.), vector DBs and embeddings, prompt engineering, model orchestration, evaluation, monitoring, and cloud-native deployment. Lead technical design, optimize back-end/data integration, ensure security and governance, and collaborate with stakeholders while mentoring teams.

Support product marketing strategy and GTM execution across Index ETFs, Active Fixed Income, and Multi-Asset & MPS. Manage BAU operations (factsheets, regulatory processes), deliver product launches, create sales enablement content, analyze adoption and campaign performance, and coordinate stakeholders across Product, Investment Management, Distribution, Marketing, and Compliance.

Lead end-to-end delivery of production-ready ML solutions: translate business problems, design and validate models, operationalise pipelines, deploy and monitor models, and mentor junior data scientists while ensuring model governance, explainability and business impact.

Lead architecture, design, development, and production deployment of AI-enabled applications and data integrations. Drive performance, scalability, observability, and secure enterprise AI adoption (LLMs, RAG, vector DBs). Mentor engineers, enforce development standards, partner with product/compliance, and operationalize responsible AI across distributed cloud-native systems.

Lead architecture for cloud-native applications, implement AWS infrastructures, develop microservices, and collaborate with stakeholders for scalable solutions.

Serve as a technical lead designing and approving secure, scalable enterprise architectures; mentor engineers; enforce governance (CI/CD, observability); optimize backend performance, databases, and APIs; troubleshoot complex issues; and liaise with stakeholders to drive cross-functional technical initiatives.