Data Defense Technical Project Manager
Vanguard · Charlotte, NC
- On site
- Full-time
- $135,000 / year
- Charlotte, NC
Job highlights
- Lead AI scaling strategy with continuous monitoring.
- Operationalize AI monitoring across all systems.
- Coordinate cross-divisional AI governance efforts.
- Ensure AI risk detection and lifecycle feedback.
- Drive adoption of AI monitoring standards.
About the role
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 outlined 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.
Key Responsibilities:
- 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.
- 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 consistency.
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.
Key skills/competency
- Project Management
- AI Governance
- Responsible AI
- Continuous Monitoring
- Risk Management
- Data Governance
- Cross-functional Leadership
- ITIL Processes
- Enterprise Platforms
- AI/ML Lifecycle
Skills & topics
- Data Defense Technical Project Manager
- AI
- Responsible AI
- Continuous Monitoring
- Project Management
- Governance
- Risk Management
- ITIL
- AI Monitoring
- Technology
How to get hired
- Tailor your resume: Highlight your project management, technology, risk, and governance experience. Emphasize cross-functional leadership in regulated environments.
- Showcase AI/ML knowledge: Detail any experience with AI monitoring platforms like Arize or WhyLabs, and your understanding of Responsible AI frameworks.
- Quantify achievements: Use numbers to demonstrate the impact of your project management and operationalization successes in previous roles.
- Prepare for interviews: Be ready to discuss your experience with ITIL processes, managing complex initiatives, and driving adoption of enterprise platforms.
Technical preparation
Study AI monitoring platforms (Arize, WhyLabs).,Review ITIL processes (incident, change, problem).,Understand AI/ML lifecycle and governance frameworks.,Prepare to discuss operationalizing enterprise controls.
Behavioral questions
Describe leading cross-functional technology initiatives.,How do you ensure audit readiness?,How do you drive adoption of new processes?,Discuss experience with incident management tools.
Frequently asked questions
- What is the primary goal of the Data Defense Technical Project Manager role at Vanguard?
- The primary goal of the Data Defense Technical Project Manager at Vanguard is to lead the operationalization and scaling of the enterprise Continuous Monitoring function as a key component of the Responsible AI Framework, ensuring consistent observability and risk detection across all AI systems.
- What kind of experience is required for the Data Defense Technical Project Manager position at Vanguard?
- Required experience includes a Bachelor's degree or equivalent, 5-8+ years in project/program management within technology, risk, or governance, and experience leading cross-functional initiatives in complex, regulated organizations. Familiarity with ITIL processes is also essential.
- What preferred experience would make a candidate stand out for the Data Defense Technical Project Manager role?
- Preferred experience includes familiarity with AI monitoring/observability platforms (e.g., Arize, WhyLabs), knowledge of Responsible AI, model risk management, data governance frameworks, and exposure to risk-based control frameworks.
- How does this role ensure AI is scaled responsibly at Vanguard?
- This role ensures AI is scaled responsibly by leading the Continuous Monitoring function, which provides consistent observability, risk detection, and lifecycle feedback for all AI systems, aligning with the enterprise's Responsible AI Framework and governance policies.
- What does 'operationalizing monitoring capabilities' mean in the context of this Data Defense Technical Project Manager role?
- Operationalizing monitoring capabilities means establishing standardized monitoring processes, aligning tooling, embedding monitoring requirements into governance and lifecycle processes, and ensuring consistent implementation of risk-based monitoring practices across all AI systems at Vanguard.
- What is the work arrangement for the Data Defense Technical Project Manager position?
- Vanguard has implemented a hybrid working model for the majority of its crew members, which is expected for this role, balancing flexibility with in-person collaboration.
- Does Vanguard offer visa sponsorship for the Data Defense Technical Project Manager position?
- No, Vanguard is not offering visa sponsorship for this position.