Vanguard

Data Analyst

• Leads a team of analysts for strategic data projects
• Hires, evaluates, and supervises crew
• Oversees data analysts working with key stakeholders to understand business strategy
• Provides expert consulting for actionable solutions
• Collects, analyzes, and communicates statistics
• Develops processes and relationships for data project management

Manager, Data Analytics – Reporting

Security Engineer

• Own end-to-end planning and scheduling of multiple concurrent engagements
• Serve as the central coordination point for offensive engagements
• Act as the primary liaison between the offensive team and stakeholders
• Manage the output of offensive security operations by overseeing the identification, documentation, and closure of findings
• Maintain and improve engagement processes to ensure consistency and quality across operations

Offensive Security Engagement Coordinator

Product Manager

• Own the AI product vision for the Fund Ecosystem
• Partner across Finance, business, and technology teams to define business problems, outcomes, and value hypotheses
• Lead AI ideation and use‑case formulation by translating complex business problems into clearly defined, value‑driven AI capabilities
• Orchestrate AI intake and prioritization processes across the Fund Ecosystem
• Proactively identify, assess, and manage risk across the AI lifecycle
• Work closely with risk and governance partners
• Drive the design and continuous improvement of the technical solution
• Influence and collaborate with cross-functional teams to create standard processes that drive significant change to the client experience

Senior AI/ML Product Manager

Data Engineer

• Own the data layer of the Fabric platform
• Partner closely with AI Engineers on AI-ready data products
• Design and implement scalable data storage in OneLake
• Build and maintain data ingestion pipelines
• Manage the lifecycle of Fabric data components
• Optimize Lakehouse tables for performance
• Define and operate the on-call model for production data pipelines

Fabric Data Engineer – Workplace Engineering

• Lead a team of data engineers to build and operate scalable, reliable data pipelines and platforms
• Drive engineering excellence (code quality, CI/CD, testing, observability, incident management)
• Partner with product and analytics to prioritize and deliver high-impact data use cases
• Own production support, incident response, and continuous improvement of data systems
• Establish and scale DataOps practices across development and operations
• Collaborate across AWMT D&A to enable data products that support personalization and analytics
• Hire, develop, and grow engineering talent and future tech leads
• End-to-end delivery and operation of data pipelines and platforms supporting advice products
• Engineering quality, reliability, and standardization across your team
• Talent development for data engineers and tech leads
• Cross-team alignment with product, analytics, and ML engineering
• Improving reliability and observability of production data pipelines
• Driving adoption of consistent pipeline frameworks and engineering standards
• Enabling scalable data foundations for ML and GenAI use cases
• Strengthening team execution, prioritization, and stakeholder trust

Manager, Data Engineering

Project Manager

• Lead end-to-end learning projects
• Own the full lifecycle of learning initiatives from intake & analysis, through design, delivery, and measurement
• Develop and manage project plans for 100% of assigned work, ensuring clarity, alignment, and execution excellence
• Ensure learning solutions are tailored to the client needs and aligned to desired outcomes
• Drive measurable impact
• Deliver strong training effectiveness outcomes across all initiatives
• Ensure all project work is connected to client experience and demonstrates impact
• Leverage data and insights to evaluate effectiveness and continuously improve solutions
• Partner and influence across the business
• Build strong relationships with stakeholders to translate business needs into learning strategies
• Lead alignment conversations and influence decisions to drive the best outcomes for clients and crew
• Communicate progress, risks, and results clearly to stakeholders and leadership
• Anticipate and manage risk
• Identify project risks early and proactively develop mitigation and contingency plans
• Resolve or escalate risks quickly to maintain momentum and delivery timelines
• Ensure projects are delivered on time or within a reasonable, agreed-upon timeline
• Drive operational excellence and continuous improvement
• Identify opportunities to improve processes, increase efficiency, and elevate outcomes
• Participate in and lead initiatives aligned to L&D and Business Enablement goals
• Contribute to building a scalable, modern learning ecosystem

Business Project Manager – Specialist

Marketing

• Execute flawlessly on marketing attribution products to build analytic insights that shape marketing strategy
• Partner with marketing, data science, and data engineering teams to define and deliver attribution solutions that drive business impact
• Translate marketing and business questions into analytical approaches, ensuring alignment with data availability, modeling capabilities, and business goals
• Evangelize attribution methodologies and experimentation best practices across the organization
• Run monthly marketing performance assessments and 'what if' scenarios
• Build consensus and influence senior stakeholders to gain confidence in methodology and drive towards a solution
• Ensure attribution products are scalable, accurate, and actionable across digital and offline channels
• Participate in special projects and perform other duties as assigned.

Marketing Attribution Specialist

Security Analyst

• Plan & Execute AI-Enhanced Attacks: Lead red team operations and penetration tests that incorporate LLM-driven techniques and agentic automation to simulate sophisticated adversaries at scale.
• Maintain human-in-the-loop oversight to ensure safe, controlled execution.
• Custom Tooling & Automation: Design or integrate custom offensive tools and scripts that use AI/ML (e.g. LLM APIs, automation frameworks) to accelerate vulnerability discovery, exploit development, and testing workflows.
• For example, develop internal frameworks that interface LLMs with red team C2 platforms (like MythicMCP, SliverMCP) to enable autonomous or semi-autonomous operations.
• Adversarial Simulation & Fraud Testing: Conduct adversarial exercises targeting both technical systems and fraud controls, using AI to emulate how attackers might abuse scale and automation.
• Work with fraud risk teams to simulate large-scale abuse scenarios (bots, deepfakes, automated scams) using AI capabilities.
• Collaboration & Purple Teaming: Partner closely with blue teams (SOC, Detection Engineering) and fraud prevention teams to share insights from AI-augmented tests.
• Help validate and improve detection and response for AI-driven attack techniques through joint purple team exercises.
• Reporting & Knowledge Sharing: Document attack scenarios, findings, and mitigations in clear reports. Present results and risk insights to both technical staff and executives, translating complex AI-augmented attack methods into actionable defense improvements.
• Mentor colleagues in adopting AI-assisted tools and foster a culture of innovation in the team.

Adversarial AI, Offensive Security Analyst

IT Support

• Leads and responds to escalated cyber security alerts and incidents
• Identifies complex attack patterns and suggests mitigation strategies
• Monitors and detects compromises, risks, vulnerabilities, and network security threats
• Reviews the network environment for new and evolving cyber threats
• Conducts penetration testing, vulnerability assessments, and threat modeling
• Provides written assessments focused on threats and vulnerabilities
• Leads IT and business teams for effective incident distribution
• Mentors junior team members

Threat Emulation and Exploit Engineer

DevOps Engineer

• Improve resiliency engineering practices across platforms and applications, including resilient application design patterns, system observability and deployment strategies
• Incident detection, troubleshooting, and resolution.
• Develop automation for incident response and infrastructure management
• Develop and support OpenTelemetry integrations for multiple application platforms (browser, ECS, lambda, etc) and languages (JavaScript, Java)
• Contribute to architectural decisions and support implementation of solutions.

Site Reliability Engineering Lead

Account Executive

• Partner with an External Sales Executive to grow business and strengthen advisor relationships within an assigned territory
• Engage proactively with financial advisors through phone, web meetings, and email to understand their needs and present Vanguard solutions
• Lead consultative sales conversations that align with advisor goals, investment approaches, and client priorities
• Coordinate follow-up actions across sales executives and internal partners; handle medium-complexity inquiries from clients and prospects
• Create presentation materials for advisor meetings, conferences, and internal discussions
• Conduct competitive research on investment products, positioning, fees, and marketing strategies
• Collaborate with teams across Sales, Relationship Management, Compliance, and Operations to support client needs and business growth
• Contribute to special projects and broader strategic initiatives as assigned

Internal Sales Consultant

Engineer

• Support the engineering and operation of the Mac platform across provisioning, configuration, software deployment, compliance, remediation, and lifecycle management
• Engineer and modernize Mac management workflows in Jamf Pro, with a focus on reliability, scalability, and a strong end-user experience
• Write, maintain and improve scripts and code used to support Mac platform management, operational efficiency, and service quality
• Participate in peer reviews and team-based engineering practices
• Use modern engineering tools, including AI-assisted development tools responsibly and effectively
• Evolve Mac endpoint standards including baseline configuration, security settings, compliance guardrails, and lifecycle practices
• Partner with security, QA, and release governance to improve validation practices for macOS updates
• Support and enhance Jamf administration, including policy management, device enrollment, package deployment, troubleshooting, and operational reliability
• Collaborate closely with the broader Mac Engineering team and cross-functional Workplace Engineering partners to deliver secure, stable, and scalable platform solutions

Mac Engineer

QA Automation Engineer

• Work on endpoint automation for provisioning, compliance, remediation, and standard configuration across the Windows fleet.
• Engineer and modernize deployment workflows using Microsoft Intune, SCCM/MECM, and Windows Autopilot.
• Build reusable PowerShell-based frameworks for device configuration, drift detection, self-healing remediation.
• Evolve Windows endpoint standards including OS baseline configuration, security baselines, and lifecycle practices.
• Partner with QA and release governance to improve validation practices.
• Implement and expand CI/CD practices for endpoint engineering content.
• Integrate with identity and security platforms to support secure provisioning, access, and device compliance patterns.
• Reduce operational toil and improve reliability by automating routine work.
• Collaborate across Workplace Engineering to standardize engineering patterns.

Windows Endpoint Automation Engineer

• Design, build, and maintain automated testing frameworks for Windows endpoints, macOS endpoints, VDI environments, and Microsoft 365 applications.
• Establish continuous testing practices that validate patches, feature updates, policy changes, security configuration updates, device provisioning changes, and application releases before broad deployment.
• Create reusable test suites for endpoint engineering scenarios including provisioning, compliance, remediation, configuration drift, application delivery, sign-in/access validation, and core user workflows.
• Use automation tools such as UiPath, PowerShell, and platform-specific scripting to orchestrate end-to-end validation across workplace technologies.
• Partner with Windows, Mac, Mobility, VDI, and Digital Workplace engineers to embed automated testing into release and change processes.
• Support pilot rings, phased deployments, rollback readiness, and release governance by providing reliable pre-release and post-change validation.
• Define test strategies, quality gates, test data approaches, and reporting standards that improve release consistency and operational confidence.
• Integrate automated testing into CI/CD workflows and engineering pipelines using Git-based practices and shared automation services where applicable.
• Improve platform reliability and user experience by identifying regression risks early and reducing manual validation effort across teams.
• Document test frameworks, validation standards, runbooks, and recommendations to enable broader adoption of automation-first quality practices.

Continuous Testing Automation Engineer, UiPath

Sales Development Rep

• Respond to inbound calls from financial advisors
• Profile advisor practices and identify client needs
• Route qualified opportunities to the sales team
• Support the progression of relationships
• Collaborate with sales executives and leaders for sales-support activities
• Participate in outbound call campaigns to engage prospective financial advisors
• Contribute to special projects and additional responsibilities