AI/ML Product Manager, Senior Specialist

VanguardMalvern, PA
Hybrid

About The Position

This role involves leading technical product management activities for AI/ML products with cross-divisional impact. The primary focus is on defining and executing the AI product vision for the Fund Ecosystem, partnering with various teams to translate business problems into value-driven AI capabilities. The position requires driving initiatives from discovery through delivery, ensuring alignment with strategy, risk appetite, and governance frameworks. A key aspect is supporting business adoption and ensuring delivered AI capabilities provide sustained value. The role also involves coaching technical product teams, managing communication, and leading the planning and implementation of new technical products.

Requirements

  • Undergraduate degree or equivalent combination of training and experience required.
  • Minimum of eight years related business experience.
  • Experience defining and leading AI product strategies and multi-quarter roadmaps.
  • Experience operating effectively across matrixed, cross-functional organizations.
  • Experience driving initiatives from discovery through delivery within risk, model governance, and control frameworks.
  • Experience partnering with technical teams while representing business outcomes and user needs.
  • Experience navigating ambiguity and building structured operating models in emerging domains.

Nice To Haves

  • Graduate degree preferred.
  • Three years of leading large cross-functional teams on major organizational projects preferred.

Responsibilities

  • Own the AI product vision for the Fund Ecosystem.
  • Partner across Finance, business, and technology teams to define business problems, outcomes, value hypotheses, solution approaches, delivery models, and roadmaps.
  • Lead AI ideation and use-case formulation, translating complex business problems into clearly defined, value-driven AI capabilities with well-scoped success measures.
  • Orchestrate AI intake and prioritization processes across the Fund Ecosystem.
  • Steward work through divisional and enterprise AI governance forums.
  • Proactively identify, assess, and manage risk across the AI lifecycle, including model risk, data risk, operational readiness, and change impacts.
  • Partner with federated delivery teams to define scope, prioritize backlogs, and drive execution.
  • Ensure delivered AI capabilities are adopted, embedded in workflows, and producing sustained business value.
  • Support business adoption through clear value articulation, change planning, and stakeholder engagement.
  • Lead technical product management activities for multiple technical products, or one strategic technical product, with cross-divisional impact.
  • Drive the design and continuous improvement of the technical solution.
  • Influence and collaborate with cross-functional teams to create standard processes that drive significant change to the client experience.
  • Ensure business outcomes are linked to business case drivers.
  • Coach technical product teams towards standard processes and learnings.
  • Lead all aspects of product teams' support of the messaging, communication, and customer outreach.
  • Facilitate strong business support through working with team members to promote a consistent approach to decisions/impacts and client propositions.
  • Drive connection across all appropriate internal and external partners.
  • Lead the planning, development and implementation of new technical products with cross-divisional impact.
  • Define and analyze technical markets, developing detailed product features and requirements, and developing implementation plans.
  • Influence and employ a variety of qualitative and quantitative analysis techniques to continually improve the user experience.
  • Participate in and influences ongoing business planning and departmental prioritization activities.
  • Drive the team’s engineering practices in development, continuous integration, and automated deployment.
  • Participate in special projects and perform other duties as assigned.

Benefits

  • Hybrid working model
  • Enhanced flexibility
  • In-person learning, collaboration, and connection
  • Mission-driven and highly collaborative culture
  • Support for long-term client outcomes
  • Enrichment of employee experience
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service