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Data Defense Technical Project Manager

Vanguard · Malvern, PA · United States

Senior Technical Project Manager driving AI monitoring at Vanguard in Malvern, PA – hybrid role. Lead cross-divisional execution of responsible AI observability with tools like Arize, ServiceNow, and PagerDuty.

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Senior Technical Project Manager driving AI monitoring at Vanguard in Malvern, PA – hybrid role.

Lead cross-divisional execution of responsible AI observability with tools like Arize, ServiceNow, and PagerDuty.

Data Defense Technical Project Manager

Drive forward Vanguard’s strategy to scale AI responsibly across the organization.  In this role you will be   responsible for leading cross-divisional efforts to operationalize Vanguard’s enterprise Continuous Monitoring function as a core component of the Responsible AI Framework. This role drives the execution, scale, and adoption of monitoring capabilities across AI systems, ensuring consistent observability, risk detection, and lifecycle feedback across all production environments.   Operating in a highly federated governance model, the Project Manager coordinates across CDAO, IT, Risk, Legal, Product, and Engineering teams to establish standardized monitoring processes, align tooling (e.g., Arize), and   operationalize   monitoring requirements   as outline in the   AI governance   Policy . The role focuses on closing cross-team execution gaps, ensuring traceability and audit readiness, and enabling scalable, risk-based monitoring practices across all AI systems.   This role does not own AI risk decisions but ensures the Continuous Monitoring function is executed consistently, transparently, and in alignment with enterprise Responsible AI requirements.   In this role you will support the following activities:   

Cross-Divisional Program Leadership

Lead enterprise-wide rollout of Continuous Monitoring capabilities across AI systems  Coordinate execution across CDAO, GTO, Risk, Legal, and divisional technology teams  Drive alignment on monitoring standards, onboarding requirements, and operating model 

Monitoring Function Operationalization

Define and implement the enterprise Continuous Monitoring operating model  Ensure integration with enterprise incident management tools (e.g., ServiceNow, PagerDuty) 

Governance & Lifecycle Integration

Embed monitoring requirements into intake, assessment, and approval processes  Support material change workflows and recertification processes driven by monitoring outputs 

Risk-Based Monitoring Framework Execution

Drive adoption of standardized metrics, thresholds, and “judges” across AI systems  Ensure risk-tiered monitoring practices are consistently implemented across divisions 

Incident Detection, Response, and Continuous Improvement

Enable automated alerting, escalation, and triage workflows for monitoring events  Integrate with current processes around   post-incident reviews and root cause analysis  Drive continuous improvement by feeding insights back into upstream lifecycle phases   (i.e. pre prod monitoring on VG Bench) 

Reporting & Executive Visibility

Deliver enterprise-level dashboards and reporting on system health, incidents, and compliance  Prepare executive-ready materials for governance forums and senior leadership  Establish a single source of truth for monitoring status, maturity, and risk exposure 

Operational Excellence & Scaling

Identify execution gaps, tooling limitations, and process inefficiencies  Drive investments in scalability, reliability, and traceability of monitoring systems  Support automation and standardization to reduce manual overhead and improve consistenc y 

Required Qualifications

Bachelor’s degree or equivalent experience  5–8+ years of project/program management in technology, risk, or governance environments  Experience leading cross-functional initiatives in complex, regulated organizations  Familiarity with ITIL processes (incident, change, problem management)  Experience driving operationalization of enterprise platforms or controls (preferred) 

Preferred Experience

Experience with AI monitoring/observability platforms (e.g., Arize,   WhyLabs )  Knowledge of Responsible AI, model risk management, or data governance frameworks  Exposure to risk-based control frameworks and enterprise governance models  Strong familiarity with AI/ML lifecycle, monitoring concepts, or data governance frameworks 

An Informational will be held

6/2 at 12:00 PM    Microsoft Teams meeting     Join:   https://teams.microsoft.com/meet/293362819850193?p=Anvaxc3MVQcW0SRWYX     Meeting ID: 293 362 819 850 193    Passcode: V9cC6zH3   

Special Factors

Sponsorship Vanguard is not offering visa sponsorship for this position.

About Vanguard

At Vanguard, we don't just have a mission—we're on a mission. To work for the long-term financial wellbeing of our clients. To lead through product and services that transform our clients' lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne, our mission drives us forward and inspires us to be our best.

How We Work

Vanguard has implemented a hybrid working model for the majority of our crew members, designed to capture the benefits of enhanced flexibility while enabling in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.

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