Vanguard

Technical Project Manager

• Drive forward Vanguard’s strategy to scale AI responsibly across the organization.
• Lead enterprise-wide rollout of Continuous Monitoring capabilities across AI systems.
• Coordinate execution across CDAO, GTO, Risk, Legal, and divisional technology teams.
• Define and implement the enterprise Continuous Monitoring operating model.
• Embed monitoring requirements into intake, assessment, and approval processes.
• Drive adoption of standardized metrics, thresholds, and ‘judges’ across AI systems.
• Enable automated alerting, escalation, and triage workflows for monitoring events.
• Deliver enterprise-level dashboards and reporting on system health, incidents, and compliance.

Data Defense Technical Project Manager

Architect

• Define and execute architectural vision and roadmaps for strategic hybrid infrastructure platforms
• Develop reference architectures, implementation patterns, and proof‑of‑concepts
• Provide architecture leadership across on‑prem and cloud compute, storage, networking, OS, and system software
• Establish standards, design principles, and architectural guardrails
• Ensure solutions meet requirements for availability, performance, scalability, security, and resilience
• Lead integration architecture, dependency mapping, and interoperability with enterprise systems
• Identify and mitigate technical, operational, and architectural risks
• Partner with governance, risk, and operations teams to support stability and business continuity
• Evaluate architecture options using TCO, ROI, and strategic trade‑off analysis
• Communicate complex technical concepts clearly to executive and technical stakeholders
• Influence decision‑making and bring clarity in ambiguous or emerging technology areas
• Stay current on industry trends and translate innovation into enterprise‑ready solutions

Domain Architect – Hybrid Infrastructure

Data Analyst

• Design and develop the analytical engine for a decision product
• Apply causal inference techniques
• Leverage predictive modeling and optimization approaches
• Translate complex business questions into structured analytical frameworks

Senior Data Analyst, Data Scientist – Decision Analytics, Modeling

Security Engineer

• Build and lead a team of engineers and analysts focused on AI runtime protection and operational AI security controls
• Define and execute strategy for AI runtime security, including guardrails, behavioral attestation, and rogue agent detection
• Operationalize AI runtime controls across AI gateways, APIs, and production environments
• Partner with IT, platform engineering, and cybersecurity teams to integrate detection, response, containment, and kill-switch capabilities
• Build scalable security operations processes to enforce AI runtime protections in real time across deployed AI systems
• Drive integration of runtime telemetry into enterprise monitoring and incident response workflows
• Establish security standards and best practices for securing AI-enabled applications and agentic systems
• Collaborate across architecture, cloud, and engineering teams to embed AI security controls into enterprise platforms.

Senior Manager, AI Runtime Security

Communications

• Lead incident management and crisis communications for the Vanguard Workplace Solutions division
• Serve as the primary VWS point of contact during crisis and incident related communications
• Provides consultation to address external client communication needs for the VWS business
• Develops cohesive plans for communicating initiatives and events that are aligned to business outcomes
• Partners with key stakeholders to ensure needs are addressed
• Responsible for tracking metrics and measuring the effectiveness of external client communication solutions

Incident Response, Crisis Communications Strategist

Chief of Staff

• Improve the way the leadership team operates by strengthening planning routines and meeting effectiveness
• Design and mature team operating rhythms
• Independently drive alignment across critical partners and manage cross-team dependencies
• Serve as a central point of coordination for updates across broader programs
• Prepare concise weekly, monthly, and quarterly updates
• Own agendas, materials, and follow-ups for key forums
• Deliver clear and timely updates across the organization
• Develop strong working knowledge of the team’s analytics work

Marketing Analytics Chief of Staff

• Define and execute the PW data product strategy, aligned with business priorities and digital transformation goals
• Oversee the end-to-end lifecycle of data products—from ideation and design to delivery, scaling, and retirement
• Design and operationalize a federated, domain-oriented data product model
• Lead and develop a high-performing team of data product managers, product owners, and analysts
• Enable development of AI-ready data products to accelerate advanced analytics, machine learning, and generative AI use cases
• Define and track business value metrics tied to revenue growth, cost efficiency, risk reduction, and client experience.

Senior Manager, Data Analytics – Management

Data Scientist

• Lead the end‑to‑end enterprise portfolio operations function.
• Establish and maintain portfolio governance frameworks, scorecards, and KPIs.
• Champion enterprise data transformation strategy.
• Analyze and optimize cross‑functional processes, workflows, and operating models.
• Serve as a trusted advisor to senior leadership.
• Assess organizational structure, roles, and capabilities; recommend improvements.

Head of Data Transformation – Portfolio Operations

Risk

• Identify and assess risks across advisory products, client interactions, and business processes
• Partner with business leaders to develop practical, business-aligned risk mitigation strategies
• Evaluate and enhance control design and effectiveness to improve risk outcomes
• Perform root cause analysis and support remediation of risk events and control gaps
• Leverage data and risk metrics to identify trends and inform decision-making
• Support key risk management practices including risk assessments, issue management, and governance routines
• Partner with the business to evaluate risk in new initiatives and process changes
• Act as a liaison across business, Compliance, Risk, and Audit to drive aligned solutions

Risk Advisor, Business Assurance – Controls

Machine Learning Engineer

• Provides leadership in hiring, coaching, talent development, performance management, and compensation decisions
• Partners with Enterprise, Solution, and Domain Architects to define AI/ML solution architectures
• Leads cross-functional delivery across Product, Data Science, Platform, and Engineering teams
• Establishes engineering practices, reusable frameworks, and platform capabilities for AI/ML initiatives
• Oversees the design, implementation, and evolution of data, feature, and model pipelines
• Applies expertise in machine learning, statistics, and optimization methodologies
• Evaluates data quality and feature readiness in partnership with Data Science teams
• Drives operational excellence through automation and continuous improvement practices
• Engages business and technology stakeholders to understand objectives and assess opportunities
• Communicates technical strategy and delivery progress to senior leaders
• Participates in special projects and performs other duties as assigned

Manager, Machine Learning Engineer

Events

• Manage and triage all incoming notifications of suspected fraud
• Leverage advanced analytical tools to identify, prevent, and mitigate fraud risks
• Review and disposition hotline channels and fraud notifications in a timely manner
• Correspond with business partners and outside financial institutions
• Analyze and document daily reporting and reviews of banking transactions
• Perform inbound and outbound call activities to support fraud detection

Fraud Investigation and Prevention Analyst

Product Designer

• Designs complex user flows, wireframes, prototypes, and UI elements to deliver a seamless user experience across mobile and web platforms
• Develops user experience interface architecture strategies to support and improve the user interface
• Leads cross-family initiatives to meet business and marketing goals
• Partners with cross-departmental teams and business leaders to prioritize UX efforts that align with business objectives
• Helps translate user needs and feedback into actionable product features
• Coordinates and delivers design, prototype, and documentation to improve the user experience
• Collaborates with research and data analytics teams to incorporate quantitative and qualitative data into the design process
• Advocates for user-centered design solutions that evolve with changing business goals and user needs

User Experience Product Design, Specialist

Operations

• Lead Client-Centric Process Design & Improvement for a Net-New Business Unit
• Drive End-to-End Initiative Execution
• Design and Visualize Scalable Client-Centric Processes
• Influence & Align Across Stakeholders
• Elevate Team Capability

Senior Process Improvement Analyst

AI Engineer

• Lead and develop a blended team of engineers (onshore and offshore), providing coaching, performance management, and career development while driving accountability for results
• Own end-to-end delivery of cloud-based and AI/ML platform initiatives, including continued development and scaling of capabilities such as AWS SageMaker and internally developed solutions
• Translate business and technology priorities into actionable delivery plans, including scope, dependencies, risks, and resource needs across a shared services model supporting multiple lines of business
• Establish and maintain strong delivery discipline through structured planning, tracking, and reporting (e.g., JIRA or similar tools) to ensure predictable and reliable outcomes
• Provide clear, data-driven communication to stakeholders and leadership on delivery status, timelines, risks, and overall progress
• Partner with engineering, product, and business teams to align on priorities, enable platform adoption, and ensure successful execution of cross-functional initiatives
• Proactively identify and mitigate risks, resolve blockers, and drive continuous improvement in delivery processes and team effectiveness
• Monitor and report on delivery performance, ensuring alignment with organizational goals and the scalability of platform capabilities
• Support operational planning, including staffing, resource allocation, and budget considerations
• Ensure adherence to technology, risk, and security standards while delivering high-quality, scalable solutions

Technology Delivery Manager – AI Platforms

Account Executive

• Partner with Directors to strategically develop and drive new Recordkeeping and Investment business.
• Serve as a strategic partner, aligning long-term plans with evolving business needs.
• Cultivate deep connections with your Key Account team, business partners, and consultants, to deliver value.
• Work with teams across Workplace Solutions, Financial Advisor Services, Investment Management, and others to deliver a seamless experience and a compelling offer.
• Influence Vanguard’s competitive positioning by understanding consultant dynamics at the individual, field, and home office level.