Senior AI & Emerging Technology Strategist

The Vanguard Group•Malvern, PA
•Hybrid

About The Position

Partner with senior leaders and cross-functional teams to define and advance AI and emerging technology strategy, governance, and adoption initiatives. Design and evolve governance mechanisms that enable responsible, scalable, and effective use of AI and machine learning. Assess technologies and industry trends to inform operating models, policies, strategic priorities, and recommendations on AI use, controls, enablement, and organizational readiness. Translate strategy into actionable plans and measurable outcomes, build trusted senior stakeholder relationships, and prepare executive communications and strategic updates. Help establish guidance, roles, responsibilities, and operating practices for AI adoption. Work with risk, compliance, legal, and technology teams within established governance and control frameworks, and contribute to AI education, training, and organizational readiness. Assess potential AI impacts on workforce models, operating structures, and business processes. Mentor less experienced team members as the AI governance and strategy function develops. Vanguard uses a hybrid working model for the majority of its crew members, combining flexibility with in-person learning, collaboration, and connection. Vanguard is not offering visa sponsorship for this position.

Requirements

  • At least eight years of related AI/ML experience in one or more areas such as technology, digital transformation, governance, strategy, consulting, or program leadership.
  • Undergraduate degree in a related field, such as Computer Science or Engineering.
  • Experience in Investment Management, Asset Management, Wealth Management, Financial Services, or FinTech environments.
  • Experience leading enterprise AI, technology, governance, or digital transformation initiatives across multiple stakeholders and business functions.
  • Experience developing business cases, strategic roadmaps, success metrics, and value-realization frameworks for emerging technologies.
  • Experience influencing senior leaders and building consensus across executive, technical, and business stakeholders.
  • Experience driving cross-functional initiatives involving technology, risk, compliance, legal, and business teams.
  • Working knowledge of AI, machine learning, generative AI, AI governance, and responsible AI principles, including experience supporting enterprise adoption and enablement.
  • Vanguard is not offering visa sponsorship for this position.

Nice To Haves

  • Graduate degree.
  • Experience developing enterprise AI governance frameworks, operating models, policies, or technology adoption strategies.
  • Experience designing and delivering enterprise education, enablement, workforce upskilling, or change-management programs.
  • Experience creating executive-level communications, presentations, recommendations, and strategic updates.
  • Technical background in software development, data science, machine learning, analytics, or emerging technologies.

Responsibilities

  • Partner with senior leaders across Investments, Finance, Technology, Risk, and Enterprise Functions to advance AI and emerging technology strategy, governance, and adoption.
  • Design and evolve governance mechanisms for responsible, scalable, and effective use of AI and machine learning.
  • Evaluate AI and emerging technologies and industry trends to inform operating models, governance policies, and strategic priorities.
  • Develop recommendations on AI usage, governance controls, technology enablement, and organizational readiness.
  • Translate AI strategy into actionable plans and measurable outcomes with business and technology teams.
  • Build trusted relationships with senior stakeholders and support discussions on AI adoption, governance, education, and implementation priorities.
  • Create executive-level communications, presentations, recommendations, and strategic updates about AI initiatives and emerging technologies.
  • Define guidance, roles, responsibilities, and operating practices to support organization-wide AI adoption.
  • Partner with risk, compliance, legal, and technology teams to support AI initiatives within governance and control frameworks.
  • Contribute to AI enablement, education, training, communication, and organizational readiness efforts.
  • Assess how AI capabilities may affect future workforce models, operating structures, and business processes.
  • Mentor and guide less experienced team members.
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