Director, Head of AI, Asset Management

Cantor FitzgeraldNew York, NY

About The Position

As the Director, Head of AI, you will be at the forefront of shaping the future of AI-enabled investing. Partnering with key teams, you will define the AI strategy, build scalable capabilities, and enhance investment decision-making. Your leadership will drive operational efficiency, improve data governance, and create a competitive edge through innovative product development.

Requirements

  • Senior leadership experience in AI, digital transformation, or technology strategy.
  • Strong understanding of investment workflows, portfolio management, and product development.
  • Deep knowledge of Generative and Agentic AI, data platforms, and enterprise AI architecture.
  • Proven ability to influence senior stakeholders and drive cross-functional initiatives.
  • Strong governance, risk, and compliance mindset, with a focus on data ethics.
  • Excellent leadership and communication skills, with a strategic mindset.
  • Ability to work collaboratively and build strong partnerships across teams.
  • Bachelor's Degree in a relevant field, with advanced degrees preferred.
  • A passion for innovation and a track record of successful AI implementations.

Nice To Haves

  • Prior experience in Asset Management, Investments, or financial services is preferred.

Responsibilities

  • Define and lead AI strategy for Asset Management, identifying high-impact opportunities.
  • Collaborate with Technology to build scalable AI platforms and capabilities.
  • Establish responsible AI governance frameworks, ensuring regulatory compliance.
  • Serve as a strategic partner to Distribution, Investment, and Product teams.
  • Embed AI into workflows and decision-making processes for improved connectivity.
  • Enhance investment teams with AI-driven research and analytics for portfolio management.
  • Automate core workflows and deploy AI assistants to boost productivity.
  • Improve data quality and accessibility, strengthening compliance and risk detection.
  • Drive enterprise-wide AI adoption and training, maximizing impact.
  • Collaborate with Product teams to design next-generation investment offerings.
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