Vanguard

Content Manager

• Creates in-depth, compelling communications and positioning on a range of subjects
• Exercises decision making authority and interacts with user experience test subjects
• Displays versatility and demonstrates understanding of user experience principles
• Partners with user experience team to set up tests, measure effectiveness, solve problems, and create communication content that meets user experience goals
• Expertly presents and 'sells' content and design solutions to senior management, project teams, partners, and stakeholders
• Ensures the success of the strategy
• Participates in discussions on user-centered design principles, visual design, user behavior, interactions, and Vanguard's brand
• Plans communication content in consideration of universal design principles and tags content
• Provides creative direction and guidance on messaging and/or content strategy across mediums
• Leads the creation of new approaches or processes with a 1-3 year outlook
• Serves as a mentor to less experienced writers by providing specific feedback

UX Content Strategist

Application Engineer

• Design and build automated testing frameworks for backend services, data pipelines, and end‑to‑end investment workflows
• Develop regression testing, scenario validation, and deterministic validation suites for portfolio calculations, tax logic, and trading workflows
• Create reusable testing tools, harnesses, and datasets (e.g., golden datasets, synthetic data generation)
• Integrate automated testing into CI/CD pipelines to enable continuous validation
• Implement controls‑by‑design to ensure accuracy, consistency, and completeness of investment workflows
• Build validation layers that detect data anomalies, workflow breaks, and calculation discrepancies
• Ensure traceability and reproducibility of results to meet audit and regulatory expectations
• Support development of validation frameworks for portfolio construction, tax‑loss harvesting, and analytics pipelines
• Contribute to backend services or data pipelines to enable testability, observability, and validation hooks
• Develop supporting APIs, utilities, or UI components that aid in testing, debugging, and workflow validation
• Improve system instrumentation to enable better monitoring and validation
• Build and run validation frameworks on AWS using scalable, cloud‑native patterns
• Integrate testing tools into CI/CD pipelines and deployment workflows
• Contribute to observability (logging, metrics, tracing) to support validation and issue diagnosis
• Participate in design, code, and test reviews to ensure quality is built in early
• Support defect identification, triage, and root cause analysis
• Contribute to production validation, reconciliation checks, and post‑release verification
• Ensure solutions comply with information security and technology policies

Investment Systems Application Engineer – III

Artificial Intelligence

• Develop and implement AI-driven capabilities that enhance Security Operations Center (SOC) effectiveness
• Lead and respond to escalated cyber security alerts, cyber incidents, or related security investigations
• Identify real-time complex attack patterns and suggest mitigation strategies
• Facilitate security operations and incident response technologies and methodologies
• Develop, manage, maintain and enhance security controls for the security platforms
• Build APIs, integrations, and automation workflows to support AI-driven capabilities
• Collaborate with security, engineering, and platform teams to deliver AI-enabled solutions
• Mentor junior team members to improve their technical acumen

Senior AI Threat Detection Engineer

Platform Engineer

• Designs, implements, and owns enterprise collaboration platforms such as Zoom or Google Workspace to meet business, regulatory, and operational requirements
• Identifies systemic gaps and opportunities to improve resiliency, performance, and user experience
• Defines and enforces platform architecture and technical standards
• Ensures alignment with enterprise controls including firewall/proxy rules, certificates/TLS, conditional access, logging, and monitoring
• Leads end-to-end implementation initiatives from requirements gathering to operational handoff
• Manages change control processes and provides post-deployment support
• Evaluates platform capabilities, vendor offerings, and roadmaps with consideration for security, compliance, scalability, availability, and user experience
• Recommends platform improvements and drives adoption of strategic capabilities
• Develops and maintains operational documentation
• Mentors junior engineers and provides escalation support
• Performs systems analysis, including requirements definition and logical/physical design for collaboration platforms
• Ensures solutions meet enterprise risk, compliance, and availability expectations
• Participates in special projects and cross-functional initiatives supporting collaboration platform reliability, scalability, and operational excellence.

Senior Collaboration Platform Engineer, Zoom – Google Workspace

Account Manager

• Facilitate family conversations and deepen the advisor’s relationship in the family wealth system
• Focus on clients’ family and wealth transitions
• Co-lead projects and develop family legacy marketing material

High Net Worth Relationship Manager, Specialist

Product Specialist

• Act as the technical lead for SIPP and ISA wrappers
• Define and maintain technical requirements
• Ensure ongoing regulatory compliance
• Partner with internal teams to identify and deliver wrapper enhancements
• Maintain and update product specifications

SIPP & ISA Product Specialist

Product Manager

• Own retirement income product strategy within VWS
• Collaborate across investments, client teams, and functional partners
• Lead analyses of investment product issues confronting Vanguard's product line-up
• Develop and maintain key internal stakeholder relationships
• Monitor the health of category, competitive positioning, and industry trends
• Attend and present at industry conferences and client specific events
• Provide thought leadership in support of the Vanguard product lineup
• Drive the creation of dynamic content and technical marketing used to position Vanguard investment products
• Manage third-party relationships with TIAA, Micruity, and Hueler

Retirement Income Product Owner

Financial Planning and Analysis

• Exhibits extensive knowledge on investment products.
• Fields requests from Sales, Client Services, and Offer/Governance on product offerings.
• Assesses and makes decisions independently on whether an investment product can be supported by our record keeping platform.
• Acts as a knowledgeable source of information and provides insights about the broad markets and the position of our investment strategies.
• Coordinates investment product and trust service responses related to Request for Proposal (RFP) and Request for Information (RFI).
• Anticipates client needs and ensures their satisfaction related to the services being provided.
• Acquires thorough knowledge and understanding of all relevant legal plan documents.
• Maintains effective working relationships with external clients and business partners.
• Fosters effective communication providing feedback and tracking issues.
• Communicates effectively throughout the onboarding and/or offboarding of investments; gathers requirements, consults on risk mitigation and system capabilities, identifies and resolves issues, and coordinates with other Investment Administration teams.
• Acts as a liaison and advocate for VWS with respect to investment products and services.
• Completes comprehensive impact analysis of issues and recommends solutions.
• Resolves issues and elevates material issues independently.
• Recognizes opportunities and recommends process improvements to gain efficiencies and ensure quality.
• Negotiates with outside fund families for maximum administrative reimbursement available to Vanguard; reconciles and resolves billing to payment discrepancies.
• Contributes to idea generation and positioning for our open architecture environment.
• Mentors and coaches other crew members, serves as a resource to the department, and shares expertise.
• Champions Vanguard Unmatchable Excellence (VUE) efforts.
• Participates in divisional and departmental VUE Project Improvement teams.
• Initiates VUE process improvement efforts.
• Advocates awareness and understanding of risk management practices, sharing ideas and best practices.
• Participates in risk assessments as appropriate, effectively monitors risk via dashboard, and identifies and communicates situations that exposes Vanguard to risk.
• Participates in special projects and performs other duties as assigned.

Investment Product Strategy Specialist

Risk

• Set enterprise direction for model validation—delivering independent, risk-based oversight across a diverse portfolio of models spanning investment and risk management, fraud and compliance, finance and HR, and rapidly evolving Gen AI and agentic use cases
• Serve as the senior authority for model validation, setting the bar for defensible methodologies, rigorous challenge, and clear, decision-ready risk communication to senior leaders
• Strengthen model risk culture and lifecycle discipline across the enterprise—driving timely issue remediation, elevating validation quality and consistency, and ensuring practices remain aligned with regulatory and audit expectations
• Lead a high‑performing, multidisciplinary model validation team responsible for validating a diverse portfolio of models
• Serve as the final approval authority for validation reports on higher-risk models
• Oversee adherence to enterprise model lifecycle requirements—including model inventory accuracy, change management, ongoing monitoring, and issue remediation
• Own the enterprise’s model development and model validation standards, guidelines, procedures, and templates
• Deliver clear, actionable reporting on key model risks, model uncertainty, issue remediation, and emerging trends to senior committees and executives
• Support the development and enhancement of divisional and enterprise model‑quality scorecards

Head of Validation – Model Risk Management

Data Scientist

• Develop end-to-end Generative AI solutions leveraging LLMs and foundational AI components
• Design and implement scalable RAG (Retrieval-Augmented Generation) workflows
• Develops complex queries and performs extensive programming to access, transform, and prepare data for statistical modeling.
• Leads and executes deep dive diagnostic, predictive, and prescriptive analytics to support data-driven business decision making.
• Mentors and develops junior data scientists and analysts.
• Identifies and diagnoses data inconsistencies and errors, documents data assumptions, and forages to fill data gaps.
• Engages with internal stakeholders to understand and probe business processes in order to develop hypotheses.
• Brings structure to requests and translates requirements into an analytic approach.
• Guides test design, research design, and model validation.
• Provides statistical consultation services.
• Serves as the analytics expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
• Prepares and delivers insight presentations and action recommendations.
• Communicates complex analytical findings and implications to business leaders.
• Participates in special projects and performs other duties as assigned.
• Designs scalable data mining models and reporting protocols to identify trends and patterns in massive datasets.
• Applies modern and emerging data science techniques to solve business problems across functions such as marketing, economics, and operations.
• Contributes to the advancement of analytics through exploratory research and application of cutting-edge statistical theory.

Senior Data Scientist

Manager

• Lead the strategy, execution, and continuous optimization of fraud controls across debit cards, ACH-like products, and real-time payment rails
• Design and manage fraud rules, decision logic, and detection strategies within real-time decisioning platforms
• Drive enhancements and implementation of fraud rules engines and decisioning platforms in partnership with engineering
• Monitor and improve fraud detection, false positives, and client friction through ongoing control tuning and performance management
• Use analytics and model insights to identify trends, refine strategies, and improve detection effectiveness
• Collaborate with Product, Engineering, Risk, and Operations to embed fraud controls into customer journeys and new product launches
• Communicate fraud risk, performance, and trade-offs clearly through strong executive storytelling
• Build and manage a high-performing team of fraud strategy and analytics professionals
• Maintain disciplined control testing, monitoring, and adherence to risk and regulatory standards.

Senior Fraud Strategy Manager – Debit and Payments

Product Designer

• Define Problems and Shape Strategy
• Drive Clarity and Alignment Across Teams
• Guide Exploration and Evolve the Vision
• Navigate Complexity and Drive Decisions
• Enable Progress Through Collaboration
• Leverage AI to Increase Speed to Learning

Lead User Experience Strategist

• Design and build scalable, distributed data platforms on AWS supporting AI and analytics workloads
• Develop and optimize modern data storage systems using technologies like Apache Iceberg and Databricks
• Build cloud-native platform services and applications, primarily in Python
• Design and maintain CI/CD pipelines and automated deployment workflows using GitHub
• Operate and improve production cloud environments, ensuring high availability, performance, and reliability
• Troubleshoot and resolve complex issues across data platforms, infrastructure, and applications
• Implement automation and infrastructure-as-code solutions to improve scalability and efficiency
• Optimize storage performance, data access patterns, and system throughput
• Contribute to disaster recovery, backup strategies, and system resilience
• Establish and enforce engineering standards, configuration best practices, and operational processes
• Partner with engineering and product teams to deliver quarterly platform capabilities and roadmap initiatives
• Mentor engineers and contribute to a high-performing, collaborative team environment
• Work with modern AI-assisted development tools including Copilot and Claude

Senior Platform Engineer – Data Platform

Cloud Engineer

• Provide advanced Tier 3 technical infrastructure, DevOps and engineering support for complex issues escalated from other support and technical service teams.
• Monitor, troubleshoot, and optimize system performance to ensure uptime, reliability, and compliance with SLAs.
• Serve as an escalation point for Azure implementation-related challenges.
• Is a key participant in new feature development from an implementation perspective, working closely with leadership and occasionally product and engineering teams.
• Contribute to documentation, automation scripts, and internal knowledge sharing for continuous improvement.
• Engage in special projects and perform other related duties as assigned.

Senior Hybrid Cloud Engineer – Azure/Windows

AI Engineer

• Define and execute the AI architecture roadmap for Advice & Wealth Management in partnership and collaboration with other organizations
• Establish architecture patterns for both traditional ML and generative AI, including deployment and monitoring
• Help business and product leaders understand how they can leverage AI to solve their business problems
• Influence enterprise guardrails and standards for responsible AI usage (evaluation, observability, model performance, and risk management)
• Establish repeatable patterns for integrating AI into applications, workflows, and platforms
• Partner with data architecture to ensure AI-ready data foundations (quality, governance, lineage)
• Guide teams on build vs. buy vs. partner decisions for AI capabilities and platforms
• Research emerging AI technologies and patterns; translate into practical recommendations and investment proposals
• Influence senior leadership on AI strategy, investment priorities, and sequencing
• Coach and mentor architects and senior engineers in AI architecture and design practices