Vanguard

Security Analyst

• Perform manual and AI-assisted secure code reviews across modern application stacks
• Analyze source code to identify vulnerabilities, logic flaws, and insecure coding practices
• Use established prompts, workflows, and review methodologies for AI-assisted code reviews
• Review and validate vulnerability findings from automated and AI-assisted analysis
• Produce technical reports and risk-based recommendations
• Communicate findings and support remediation efforts with development teams
• Collaborate with penetration testers, threat modelers, and application security teams
• Support team processes, methodologies, and automation initiatives

Application Security Analyst

• Perform manual and AI-assisted secure code reviews across modern application stacks
• Analyze source code to identify vulnerabilities, logic flaws, and insecure coding practices
• Develop and optimize prompts, workflows, and review methodologies for AI-assisted code review
• Validate and refine vulnerability findings, reducing false positives and identifying overlooked risks
• Produce technical reports and risk-based recommendations
• Partner with development teams to explain findings, assess risk, and provide remediation guidance
• Collaborate with penetration testers, threat modelers, and application security teams
• Contribute to team processes, methodologies, and automation initiatives

Senior Application Security Analyst

Manager

• Shape Vanguard's financial planning offerings and services across advised and self-directed client experiences
• Lead the evaluation and deployment of new planning capabilities, tools, and solutions
• Partner with product, technology, methodology, and business leaders to bring innovative planning experiences to market
• Evaluate and collaborate with internal teams and external providers to deliver best-in-class planning capabilities
• Guide the oversight and evolution of Vanguard's financial planning tools and services to ensure strong client outcomes
• Build, coach, and lead a team of financial planning subject matter experts
• Provide guidance and training, set performance standards, review performance, and make informed compensation decisions in accordance with applicable HR policies and procedures

Senior Manager, Advice Methodology

Artificial Intelligence

• Develop and implement AI-driven capabilities that enhance Security Operations Center effectiveness
• Lead and respond to escalated cybersecurity alerts, incidents, and security investigations
• Identify complex attack patterns and suggest mitigation strategies
• Monitor and detect compromises, risks, vulnerabilities, and network security threats
• Facilitate security operations and incident response technologies and methodologies
• Develop, manage, maintain, and enhance security controls, including alerts, rules, policies, and signatures
• Develop and enhance AI agents to streamline SOC operations and improve efficiency
• Design and optimize prompts and workflows for LLM-based security use cases
• Evaluate emerging AI technologies and contribute to SOC innovation
• Implement safeguards and controls for secure and responsible AI usage
• Build APIs, integrations, and automation workflows supporting AI-driven capabilities
• Write clean, maintainable, production-ready code aligned with engineering best practices
• Collaborate with security, engineering, and platform teams to deliver AI-enabled solutions
• Support AI agent development and deployment across SOC use cases
• Stay current on AI advancements and apply best practices
• Mentor junior team members
• Participate in special projects and perform other assigned duties

Senior AI Threat Detection Engineer

Application Engineer

• Guide Application Security strategy and secure the software development lifecycle
• Drive API, container, and application security testing initiatives, including DAST and other security validation capabilities
• Develop strategies to secure containers, serverless technologies, APIs, and AI/ML
• Provide hands-on engineering support for security incidents, threat events, vulnerability management, and control improvements
• Gather and report metrics on security coverage, risk reduction, and program maturity
• Create and maintain technical standards, operational procedures, and documentation using NIST, OWASP, and SANS guidance
• Provide technical mentorship and training to development and cloud engineering teams
• Implement, optimize, and operationalize Application Security solutions
• Drive automation and security capabilities that improve developer experience and streamline security processes
• Monitor emerging Application Security trends, technologies, attack techniques, and industry best practices

Senior Application Security Engineer

Security Engineer

• Assist with the design, build, and deployment of identity and access management capabilities
• Conduct needs assessments covering technology availability, infrastructure support, and administrative needs
• Provide advanced support for technology, platform, environment, and access administration issues
• Apply risk ranking knowledge when resolving technology platform and environment issues
• Design and develop technical documentation for security administration software, platform, and environment security access
• Participate in developing tools to automate access management services and implement access and security policies and standards
• Initiate, design, and develop documentation supporting application onboarding
• Solve complex technical problems, identify root causes, and resolve recurring operational incidents
• Assist the team and managers in proactively devising solutions
• Identify and recommend continuous improvement opportunities
• Support changes to department policies and procedures
• Participate in special projects and perform other assigned duties

Identity Security MultiCloud Analyst

• Lead a multidisciplinary team of data scientists, ML engineers and applied AI practitioners
• Own the end-to-end lifecycle from problem framing and hypothesis design through model and agent development, evaluation, deployment, monitoring and decommissioning
• Build, develop, evaluate and supervise team members across data science, ML engineering and applied AI disciplines
• Establish upskilling in generative AI, prompt and context engineering, agentic patterns, retrieval architectures and evaluation methodology
• Translate enterprise AI and data science strategy into a prioritized tactical roadmap for Advice and Wealth Management
• Direct the design of multi-agent and orchestrated systems, including planner/executor patterns, tool and function calling, memory and state management, retrieval-augmented generation, human-in-the-loop checkpoints and deterministic fallback paths
• Evaluate and select models; own build-versus-buy-versus-tune decisions
• Manage token economy, inference capacity, quotas, unit economics and ROI
• Build and maintain evaluation harnesses for accuracy, groundedness, hallucination rate, tone, refusal behavior, latency and regression
• Oversee analytics portfolio spanning statistical and machine learning models, causal inference, experimentation, forecasting, generative applications and agentic applications
• Lead model, methodology, data, prompt, agent trajectory and output validation
• Govern data quality, provenance, unstructured corpora and retrieval sources
• Partner with engineering on MLOps and LLMOps, including CI/CD, versioning, observability, tracing, guardrails, incident response and rollback
• Implement responsible AI governance across model and agent lifecycles
• Partner with Legal, Compliance, Risk and Model Risk Management in the regulated advice environment
• Evaluate emerging technologies and manage AI vendors and model providers
• Engage stakeholders, translate requirements into analytic or AI approaches, and represent the domain to senior leadership
• Participate in special projects and perform other duties as assigned

Head of AI/ML – Advice, Wealth, and Strategic Enablement

General

• Investigate, validate, and triage exposed credentials, API keys, tokens, certificates, and other sensitive secrets using risk-based prioritization
• Partner with application teams to drive remediation, credential rotation, revocation, and secure replacement of exposed secrets
• Support implementation and administration of GitHub Advanced Security (GHAS) Secret Protection, push protection, custom detection patterns, and enterprise scanning controls
• Define, document, and maintain secrets classification standards, severity models, response procedures, and governance processes
• Collaborate with IAM and platform teams to improve credential lifecycle management, vault adoption, rotation controls, and privileged access management integration
• Develop dashboards, metrics, and reporting for secrets exposure trends, remediation effectiveness, SLA performance, and program maturity
• Support exception management workflows, bypass approvals, evidence collection, and audit readiness for secrets-related controls
• Identify recurring exposure patterns and improve preventive controls with engineering, AppSec, and security advisor teams
• Create developer-facing guidance, training materials, and best practices for secure secrets handling throughout the SDLC
• Identify automation opportunities through APIs, workflows, and AI-assisted capabilities
• Participate in on-call support and incident response involving exposed credentials, credential abuse, and software supply chain security events

AppSec – Secrets Management Specialist

AI Engineer

• Define and execute technology strategy, roadmaps, and investment priorities aligned to enterprise and business objectives
• Partner with business, digital, marketing, operations, and technology leaders to identify innovation and transformation opportunities
• Advise senior stakeholders on customer engagement technologies, platform strategy, and AI-enabled solutions
• Promote a product-centric culture focused on business outcomes, customer value, and continuous improvement
• Lead multiple product and engineering teams responsible for enterprise communication and AI platform capabilities
• Drive delivery of scalable, resilient, and secure solutions leveraging Salesforce Marketing Cloud, AWS, enterprise data platforms, and modern AI technologies
• Oversee platform modernization initiatives improving customer engagement, personalization, automation, and operational efficiency
• Establish priorities, manage funding and resources, and ensure successful execution of strategic initiatives
• Monitor business outcomes, delivery metrics, and platform performance to inform investment and roadmap decisions
• Lead development and adoption of enterprise Generative AI and Agentic AI capabilities
• Identify and prioritize high-value AI use cases with product and business leaders
• Drive responsible AI practices, governance standards, and scalable platform adoption
• Build, lead, and develop teams of product managers, engineers, architects, and technical leaders
• Foster collaboration, innovation, accountability, and continuous learning
• Develop organizational capabilities across cloud engineering, digital platforms, marketing technology, and AI solutions
• Coach leaders and team members while promoting engineering excellence and operational discipline

Senior Manager, IT Delivery – Enterprise Communications, Agentic AI Platforms

• Own and evolve the platform orchestrating security scanning across applications
• Surface security findings as control checks and enforce security standards through GitHub's policy engine
• Lead design, development, and implementation of cloud-native platform services on AWS
• Develop APIs, event-driven integrations, automation services, and CI/CD capabilities
• Maintain platform reliability through automation, observability, and self-service
• Partner with security and engineering teams to embed secure development practices across SAST, SCA, container, and API security testing
• Provide technical leadership and mentor the team
• Champion thoughtful adoption of AI-assisted development
• Collaborate with stakeholders to define technical direction, manage risks, and deliver business-critical solutions
• Partner with DevSecOps leaders on strategic initiatives and evolving priorities
• Drive continuous improvement in architecture, engineering standards, and operational excellence

Application Engineering Technical Lead – II

Risk

• Develop and execute a forward-looking fraud risk roadmap aligned with business priorities, regulatory expectations, and enterprise objectives
• Design, develop, and oversee the fraud monitoring program
• Evaluate controls and strategies to improve risk reduction, client experience, catastrophic loss protection, and false positive reduction
• Partner with Enterprise Fraud, Product, Privacy, Operations, and other stakeholders to implement fraud and privacy risk mitigation solutions
• Serve as the fraud subject matter expert for the Personal Wealth business
• Advise on significant fraud events, escalations, and emerging risk matters
• Conduct fraud risk assessments and communicate control gaps, vulnerabilities, and process improvement areas
• Support policies, procedures, and governance practices related to fraud and privacy risk management
• Prepare risk insights, assessment findings, and recommendations for leadership and cross-functional partners
• Contribute to strategic initiatives and special projects related to fraud prevention

Senior Fraud Risk Manager

• Lead a team responsible for delivering and supporting enterprise AI capabilities
• Oversee conversational AI orchestration platforms, knowledge management and retrieval services, model governance and observability practices, and conversation compliance and retention pipelines
• Drive roadmap execution and align priorities across complex initiatives
• Manage delivery risks and ensure operational excellence
• Hire, evaluate, supervise, coach, and develop crew; set performance expectations and make compensation decisions
• Own software release delivery for orchestration platforms, knowledge management capabilities, and shared AI infrastructure
• Partner with business and technology stakeholders to define scope, clarify environmental needs, and support implementation
• Develop staffing and operational plans and participate in short- and long-term department goals
• Monitor and report service delivery metrics and overall performance
• Develop department policies and procedures, including data compliance and retention practices
• Lead quality initiatives, including model governance and observability practices
• Present status, metrics, risks, and initiatives to management and project peers
• Build relationships with technical teams, IT, compliance partners, and other stakeholders
• Participate in department budgeting, review expenses, and operate within budget guidelines
• Ensure compliance with information technology, information security, data handling, and compliance policies
• Participate in special projects and perform other assigned duties

IT Delivery Manager

Cloud Engineer

• Lead and develop a high-performing cloud engineering team
• Provide mentorship, coaching, and professional development to team members
• Assess performance and make informed compensation decisions in accordance with HR policies and procedures
• Lead development, management, and optimization of cloud platform capabilities across Vanguard's cloud environment
• Drive adoption of automation and AI-enabled solutions to improve operational efficiency, engineering productivity, and cloud management practices
• Partner with Platform Engineering, Architecture, DevOps, Infrastructure, Application Development, and other stakeholders to design and implement scalable cloud solutions
• Establish engineering standards, best practices, and operating models for reliable and efficient cloud operations
• Drive continuous improvement focused on cloud performance, availability, resiliency, and operational excellence
• Develop and monitor metrics, KPIs, and OKRs measuring platform reliability, team effectiveness, and engineering outcomes
• Collaborate with platform and engineering teams to improve visibility, operational insights, and cloud maturity
• Lead cloud modernization initiatives and adoption of emerging technologies and engineering practices
• Build partnerships across technology teams to prioritize work, remove obstacles, and deliver business value
• Stay current on industry trends, cloud technologies, AI capabilities, and platform engineering best practices

Cloud Engineering Manager

Sales

• Develop new relationships and expand existing partnerships with distributors, advisors, and other intermediaries within the Broker-Dealer channel
• Achieve sales and retention goals while operating in accordance with Vanguard’s Code of Ethics
• Create and execute strategic sales plans to identify new business opportunities and maximize the value of Vanguard’s products and services
• Increase awareness of Vanguard investments, solutions, and resources through targeted outreach and relationship-building activities
• Engage clients and prospects through virtual meetings, phone conversations, face-to-face meetings, educational events, direct marketing efforts, and industry conferences
• Understand intermediary businesses, investment philosophies, and client needs to deliver relevant insights and solutions
• Educate clients on Vanguard’s investment offerings and align solutions with business objectives
• Provide perspectives on capital markets, investment management, and industry trends to support client decision-making
• Deliver presentations and represent Vanguard at client seminars, educational programs, and industry events
• Use technology to create personalized client experiences across metro and non-metro markets
• Partner with Field Sales and Key Account Sales colleagues to support team objectives and client outcomes
• Prioritize opportunities and balance virtual and in-person interactions based on client needs and business goals
• Monitor key business drivers and use data and insights to inform client engagement strategies
• Participate in special projects and other responsibilities as assigned
• Conduct client engagement primarily through electronic and telephone communication, with in-person meetings and field sales activities
• Attend client meetings, conferences, seminars, and industry events

Broker Dealer Sales Executive

Software Engineer

• Develop and support Adobe Target activities for A/B tests, multivariate tests, experience targeting, personalization, recommendations and other Target-driven experiences
• Build front-end code for Target activities using JavaScript, TypeScript, HTML, CSS, responsive design, accessibility standards and cross-browser development practices
• Configure Adobe Target audiences, profile scripts, parameters, QA links, activity priorities, targeting rules and delivery safeguards
• Partner with product, design, analytics, MarTech and business teams to clarify requirements and deliver technically sound test implementations
• Troubleshoot activity delivery, audience qualification, front-end behavior, analytics integration, browser issues and production defects related to Target implementations
• Support QA, accessibility, performance, version control, release readiness, documentation and implementation standards
• Create reusable scripts, utilities and documentation to improve consistency and speed across experimentation delivery
• Translate experimentation requirements into reliable, measurable implementations and help maintain quality standards for code, QA, accessibility, performance and release readiness