AI Implementation Enablement Vice President

Morgan Stanley • Purchase, NY

1d • $110,000 - $190,000

About The Position

The GenAI Implementation Enablement VP will help expand GenAI adoption in WM, support project delivery, and assist with continual improvements. About Morgan Stanley Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm’s employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries. Morgan Stanley is committed to helping its employees build meaningful careers and we strive to be a place for people to learn, achieve and grow. Department Overview In the Wealth Management division, we help people, businesses and institutions build, preserve, and manage wealth so they can pursue their financial goals Wealth Management (WM) Platforms manages industry-leading platforms, across all WM channels and client segments, to provide a unified digital experience, unlock growth, and deliver efficiencies for Advisors, Clients, and Institutions. WM Platforms consists of ten sub-teams including: Field Experience & Platforms, Digital Client Experience & Platforms, Workplace Platforms, Automation & Workflow, Digital Trading & Investing, Generative AI, UX Design & Research, Strategy & Execution, WM Platforms Risk, and the Chief Operating Office. The Wealth Management GenAI Team is a dynamic and innovative department that serves as a center of AI enablement across Wealth Management. The team is responsible for deploying advanced tools, platforms, and solutions that utilize generative artificial intelligence to optimize business processes. We oversee content creation, management, and governance to ensure the highest content quality for our AI system to utilize. The team is committed to fostering a culture of continuous learning and evolution in this rapidly changing space.

Requirements

• 9.5+ years of applicable experience across work and higher education.
• Experience at financial services institution or in a related function.
• Bachelor’s degree in a relevant field.
• Experience in a training or user-centric project management role with familiarity in agile methodologies.
• Excellent communication, interpersonal, and organizational skills.
• Ability to work in a fast-paced environment and manage multiple tasks effectively.
• Proficiency in MS Office suite.
• Interest and knowledge in machine learning and AI technologies.

Nice To Haves

• Experience with agile methodologies and project management tools and software preferred.

Responsibilities

• Drive AI Adoption Activities: Support the rollout and scaling of AI tools across Wealth Management by coordinating onboarding efforts, field readiness activities, and adoption‑focused workstreams.
• Coordinate Implementation Tasks: Organize and manage day‑to-day activities required to support adoption, ensuring teams have what they need to successfully integrate GenAI tools into workflows.
• Serve as an Implementation Enablement Partner: Work closely with product owners, engineering partners, field teams, legal, risk, and compliance to remove friction, share updates, and align on adoption needs and timelines.
• Gather and Synthesize Feedback: Engage with WM teams to collect user feedback, pain points, and enhancement requests; help channel this input to product and engineering teams to inform future improvements.
• Identify Adoption Risks & Gaps: Help surface blockers that could hinder rollout or user uptake (e.g., training gaps, workflow dependencies, communication needs) and collaborate with senior team members on mitigation strategies.
• Support Cross‑Functional Collaboration: Facilitate information‑sharing across partner teams to ensure consistent messaging, aligned sequencing, and an integrated adoption experience across WM.
• Track Adoption Metrics: Assist in monitoring adoption KPIs, usage data, and engagement trends; help produce reports and insights that give leadership visibility into progress and focus areas.
• Contribute to Playbooks & Best Practices: Help build and refine adoption frameworks, user guides, training materials, and playbooks that enable scalable, repeatable deployment across teams.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level