Senior Technical Program Manager, AI & Model Governance

Vanguard-posted 3 months ago
Senior
Hybrid • Malvern, PA
Funds, Trusts, and Other Financial Vehicles
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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.

  • 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.
  • 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 enterprise level governance bodies.
  • Demonstrated success in designing and implementing governance processes from scratch, including documentation, enforcement mechanisms, and integration with operational systems.
  • Experience leading governance committees or working groups, driving consensus, and delivering tangible outcomes under tight timelines.
  • Experience working with AI/ML development teams. Familiarity with AI/ML lifecycle tools and platforms, including AWS, JIRA, MLFlow, and model validation frameworks.
  • Ability to synthesize practitioner feedback and advocate for governance improvements with enterprise stakeholders.
  • Ability to interpret and refine governance templates and documentation.
  • Understanding of financial industry (asset management in particular).
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