Senior AI & Emerging Technology Strategist

Vanguard•Malvern, PA

9d•Hybrid

About The Position

The Senior AI & Emerging Technology Strategist partners with senior leaders and cross-functional teams to define and advance AI and emerging technology strategy, governance, and adoption. The role designs and evolves governance mechanisms for responsible, scalable use of AI and machine learning, evaluates technology and industry trends, and develops recommendations on governance controls, enablement, organizational readiness, and strategic priorities. The strategist translates AI strategy into actionable plans and measurable outcomes, builds trusted relationships with senior stakeholders, and creates executive communications and strategic updates. The role also helps define organizational guidance and operating practices, supports AI initiatives within established risk and control frameworks, contributes to education and readiness efforts, assesses potential impacts on workforce models and business processes, and mentors less experienced team members. Vanguard describes its mission as supporting clients’ long-term financial wellbeing and advancing products and services that transform their lives. Its hybrid working model is designed to combine 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, including experience in one or more of 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.
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 efforts.

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 define and advance AI and emerging technology strategy, governance, and adoption initiatives.
Design and evolve governance mechanisms that support responsible, scalable, and effective use of AI and machine learning capabilities.
Evaluate AI and other emerging technologies and industry trends to inform future-state operating models, governance policies, and strategic priorities.
Develop recommendations regarding AI usage, governance controls, technology enablement, and organizational readiness.
Partner with business and technology teams to translate AI strategy into actionable plans and measurable outcomes.
Build trusted relationships with senior stakeholders and support discussions about AI adoption, governance, education, and implementation priorities.
Create executive-level communications, presentations, recommendations, and strategic updates related to AI initiatives and emerging technologies.
Help define guidance, roles, responsibilities, and operating practices that support successful AI adoption across the organization.
Partner with risk, compliance, legal, and technology teams to support AI initiatives within established governance and control frameworks.
Contribute to AI enablement, education, and organizational readiness efforts by helping shape training and communication strategies.
Assess how AI capabilities may affect future workforce models, operating structures, and business processes.
Mentor and guide less experienced team members as the AI governance and strategy function evolves.