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Morgan Stanley

Manages investments and advises on financing

Vice President Business Lead - AI Challenge Lab

Program ManagementConfirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • Strong program management and execution capabilities, with a proven ability to lead complex, cross-functional initiatives.
  • Exceptional stakeholder management and executive presence, with experience partnering closely with senior leaders.
  • Demonstrated understanding of artificial intelligence, generative artificial intelligence, and emerging technologies, with the ability to translate capabilities into business value.
  • Ability to identify high-impact business opportunities and shape practical, scalable artificial intelligence solutions.
  • A product-oriented mindset, including experience defining objectives, success metrics, and adoption strategies.

Responsibilities

  • Serve as the primary point of contact for senior stakeholders throughout the program lifecycle, ensuring alignment, accountability, and timely decision-making.
  • Build trusted relationships with business sponsors, Technology leaders, mentors, and program participants.
  • Drive post-lab follow-through by establishing ownership, next steps, implementation plans, and success metrics with sponsors and participants.
  • Prepare executive communications, presentations, and updates for program leadership and steering committees.
  • Support the expansion of the AI Challenge Lab across businesses, regions, and functions.
  • Assist with intake, evaluation, and readiness assessment for prospective use cases.
  • Partner with business sponsors to refine problem statements, clarify objectives, and strengthen business cases.
  • Evaluate use cases based on business value, feasibility, stakeholder commitment, data readiness, and implementation potential.
  • Maintain and manage a strong pipeline of use cases for future cohorts.
  • Help ensure selected use cases are positioned for successful development and eventual implementation.
  • Partner with business leaders and Technology teams to identify and prioritize high-impact AI opportunities.
  • Help sponsors understand AI capabilities, limitations, and implementation considerations.
  • Assess AI use case readiness, including business value, technical feasibility, data availability, and organizational support.
  • Identify opportunities to scale successful use cases across multiple businesses and functions.
  • Develop strategies to accelerate AI adoption and increase awareness of successful AI solutions throughout the Firm.
  • Partner with AI Ambassadors, mentors, and business stakeholders to accelerate the diffusion of AI capabilities across the organization.
  • Stay current on emerging AI technologies, industry trends, and leading practices.
  • Own end-to-end program delivery, including communications, onboarding, scheduling, participant engagement, and operational readiness.
  • Lead program logistics, including venue planning, materials, technology setup, and event-day execution.
  • Establish ownership, deliverables, milestones, and timelines before launch, and track progress throughout execution.
  • Identify and proactively address risks, dependencies, and operational issues to ensure a high-quality participant experience.
  • Coordinate with instructors, mentors, sponsors, and Technology partners throughout each cohort.
  • Manage multiple concurrent workstreams while maintaining quality and attention to detail.
  • Monitor use case progress, implementation outcomes, and post-program adoption.
  • Develop regular reporting and status updates for sponsors and program leadership.
  • Track key program metrics, business outcomes, participant engagement, and adoption indicators.
  • Analyze participant feedback and program performance to drive continuous improvement.
  • Help operationalize playbooks, templates, governance frameworks, and best practices to support program consistency and scalability.
  • Measure and communicate program impact, including delivery milestones, adoption metrics, business outcomes, and implementation success.

Desired Qualifications

  • Experience working on AI, machine learning, data, digital transformation, innovation, or technology-enabled business initiatives.
  • Experience supporting large-scale learning, innovation, or change management programs.
  • Knowledge of financial services products, workflows, and operating models.
  • Experience partnering with senior business executives and Technology organizations.
  • Demonstrated interest in AI-driven transformation and the future of work.

About the Company

Morgan Stanley

Manages investments and advises on financing

Morgan Stanley advises companies and governments on financing and manages investments for institutions, individuals, and families. Its business combines investment banking and securities trading with wealth management and an asset-management division that invests across public and private markets. Bankers arrange stock and bond sales and advise on mergers, while advisors build client portfolios and fund managers invest money under agreed strategies. The firm earns advisory and management fees, trading revenue, commissions, and interest from lending and deposits. Morgan Stanley was founded as a partnership in 1935 and is headquartered in New York City.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1935

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