Senior Technical Program Manager, AI & Model Governance

Vanguard Group; Charlotte (NC); Hybrid; USD 140,000 - 170,000; Full time

Job summary

Vanguard is seeking a seasoned Senior Technical Program Manager, AI & Model Governance to lead the development, integration, and enforcement of model governance practices across CAI labs. This role ensures compliance with governance policies while driving operational efficiency and stakeholder alignment.

Responsibilities include organizing governance committees, designing PDLC-aware processes, and partnering with AI/ML teams to align workflows with governance stages.

Qualifications

• Minimum 5 years of experience in AI or model governance, risk management, or compliance within data science or analytics environments.
• Proven ability to collaborate with cross-functional teams including data scientists, machine learning engineers, product owners, IT developers, and governance bodies.
• Experience designing and implementing governance processes from scratch with documentation and enforcement mechanisms.
• Experience leading governance committees or working groups and delivering tangible outcomes under tight timelines.
• Familiarity with AI/ML lifecycle tools and platforms (AWS, JIRA, MLFlow) and model validation frameworks.
• Ability to synthesize practitioner feedback and advocate for governance improvements with enterprise stakeholders.

Responsibilities

• Organize and drive the agenda for CAI’s Model Governance Operations Committee.
• Design and document governance processes integrated with PDLC and Model Development Life Cycle frameworks.
• Liaise with CAI labs to drive governance implementation and evolution.
• Coordinate with AI/ML product owners and scrum leads to align agile workflows with governance stages.

Skills

Governance Expertise

Stakeholder Engagement

Process Design

Operational Leadership

Technical Fluency

Strategic Communication

Tools

AWS

JIRA

MLFlow

Job description

We are seeking a seasoned Senior Technical Program Manager, AI & Model Governance to lead and support the development, integration, and enforcement of model governance practices across CAI labs. This role is critical to ensuring compliance with evolving enterprise-level governance policies while driving operational efficiency and stakeholder alignment.

Key Responsibilities

• Organize, design, and drive the agenda for CAI’s Model Governance Operations Committee.
• Design and document governance processes integrated with AI Product Development Life Cycle PDLC and Model Development Life Cycle frameworks.
• Liaise with various CAI labs to drive implementation and evolution of governance processes.
• Liaise with AI/ML product owners and scrum leads to drive alignment of agile workflows with governance stages (e.g., Backlog, Review, Testing, Deployment, Monitoring).
• Establish and manage peer review protocols, including reviewer selection, artifact generation, and timeline adherence.
• Resolve governance gaps for existing models in production, especially those lacking formal approvals.
• Liaise with MRM Model Risk Management, Data Defense Office, and Enterprise Data Office to evolve governance tools, requirements, and processes.
• Lead experimentation with AI tools (e.g., MLFlow) to enhance governance capabilities and efficiency.

Experience Requirements

• Governance Expertise: Minimum 5 years of experience in AI or model governance, risk management, or compliance within data science or analytics environments.
• Stakeholder Engagement: Proven ability to collaborate with cross-functional teams including data scientists, machine learning engineers, product owners, IT developers, and enterprise level governance bodies
• Process Design: Demonstrated success in designing and implementing governance processes from scratch, including documentation, enforcement mechanisms, and integration with operational systems.
• Operational Leadership: Experience leading governance committees or working groups, driving consensus, and delivering tangible outcomes under tight timelines.
• Technical Fluency: Experience working with AI/ML development teams. Familiarity with AI/ML lifecycle tools and platforms, including AWS, JIRA, MLFlow, and model validation frameworks.
• Strategic Communication : Ability to synthesize practitioner feedback and advocate for governance improvements with enterprise stakeholders.

Preferred Skills

• Ability to interpret and refine governance templates and documentation.
• Understanding of financial industry (asset management in particular).

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.