Jobs at Vanguard

Lead and develop a team of fraud client services specialists to prevent fraud, resolve cases end-to-end, and optimize quality, productivity, and client experience. Partner with Fraud, Risk, Compliance, AML, and business stakeholders to implement new capabilities, drive process improvements, support workforce planning, and manage organizational readiness.

Develops, tests, and implements backend applications and databases; integrates third-party products and APIs; supports CI/CD, deployment, production support, performance optimization, and documentation while following SDLC and security policies.

Lead hands-on AI enablement for ~2 teams: design and run AI-powered automations, document agentic workflows, map value streams, define Ready-for-Agent criteria, surface AI-driven OKR risks, and ship tooling/process changes to progress teams through AI maturity milestones.

Provide expert IT technical leadership for software and hardware projects, focusing on data platforms and ensuring quality deliverables. Mentor staff and communicate with stakeholders effectively while addressing technical issues and promoting continuous improvement.

Lead strategy and execution of high-impact client, prospect, consultant, and executive meeting experiences (RFPs, presentations, briefings, onsite). Translate business priorities into audience-centric narratives, manage complex cross-functional initiatives, measure outcomes, scale best practices, and mentor team members.

Design and implement automated testing frameworks, ensuring accuracy and validation of investment workflows while supporting production and engineering practices.

The role involves designing scalable backend services, mentoring engineers, integrating systems, and providing technical leadership in investment platforms.

The role focuses on enhancing marketing campaign performance using advanced analytics and data science techniques, translating complex data into actionable insights, and collaborating across teams.

The role involves designing user flows and interface architectures, leading UX initiatives, collaborating with teams, and mentoring junior staff to enhance user experience across products.

The Microsoft 365 Platform Administrator designs and maintains Microsoft 365 architecture, implements security and governance, and leads modernization initiatives while managing licensing and providing technical leadership.

Lead data governance and management initiatives: define and implement data quality, metadata, and lineage controls; translate governance strategy into measurable plans; partner with stakeholders to remediate issues, track metrics, and deliver outcomes; support modern data platforms and AI readiness; present results to senior leadership.

Act as a strategic advisor bridging business and IT to design scalable technology solutions. Lead discovery, evaluate tradeoffs, influence roadmaps and stakeholders, and support platform modernization, experience transformation, and AI enablement across people, process, data, and technology.

Develop forecasting and staffing models, analyze drivers of inbound call and processing volumes, and provide data-driven recommendations to support workforce decisions. Partner with Workforce Management and Finance to prepare budgets, assess staffing needs, and implement process improvements. Mentor junior planners and participate in special, potentially complex projects to optimize operational performance.

Develop and enhance enterprise-scale Dynamics 365 and Power Platform solutions, integrate multi-cloud services, build agentic experiences with Microsoft 365 Copilot, collaborate with product and technology teams, design security/access controls, and operate within an Agile/product-focused environment.

Lead analytics projects to translate business strategy into analytic approaches; acquire, validate and analyze structured and unstructured data; create advanced analyses, visualizations and presentations; own recurring reporting processes; validate others' methods; mentor and develop the analytics community; participate in cross-functional strategic initiatives and special projects.

Lead advanced analytics and modeling efforts: develop queries, prepare data, design and validate predictive and prescriptive models, mentor junior staff, engage stakeholders, deliver insights and recommendations, and apply modern data science and big-data techniques across business functions.

Lead design and integration of end-to-end intelligence architecture across Personal Wealth and U.S. Direct Investor domains. Align existing analytic solutions into a unified, scalable ecosystem that delivers real-time intelligence to products, business users, and AI agents. Own integrated roadmap, enable decision intelligence, establish governance, and drive cross-functional adoption and product delivery.

Lead a team defining strategy and roadmap for an intelligence platform that surfaces prioritized signals and insights. Partner with data science and engineering to translate models into product experiences, drive 0-to-1 product development, align cross-functional stakeholders, manage full product lifecycle, and improve user experiences through qualitative and quantitative analysis.

Lead Vanguard's enterprise Responsible AI testing and monitoring program, build and manage a team, define roadmap and guardrails, operationalize assessments into governance and risk processes, implement production monitoring and reporting, coordinate cross-functionally, support audits and regulatory reviews, and drive continuous improvement.

Lead Vanguard's enterprise data transformation by running the transformation control tower, orchestrating multi-year delivery, managing strategic partners, defining operating rhythms and OKRs, overseeing financials and governance, enabling organizational change, and building a strategic operations team to ensure measurable execution and adoption.