Change Management and Training Associate

Morgan Stanley•New York, NY

13h•$90,000 - $155,000

About The Position

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. As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethics. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture. About Firmwide AI The Firmwide Generative AI Team at Morgan Stanley is a dynamic and innovative department that serves as a center of AI enablement for the firm. The team is responsible for deploying advanced systems that utilize generative artificial intelligence to optimize business processes. The team oversees governance and control measures to ensure the ethical and responsible use of AI technologies. The team is committed to fostering a culture of continuous learning and providing education on AI technologies to other departments within the company. Position Overview The Change Management and Training Associate will support the Firmwide AI team’s mission to drive adoption and literacy of generative AI technologies across the organization. This role is ideal for a motivated individual passionate about education, change management, and digital transformation. You will collaborate with cross-functional teams, contribute to program milestones, and help shape the firm’s AI learning culture.

Requirements

Bachelor’s degree required.
Experience in learning and development, with a focus on training program design and delivery.
Exposure to organizational change management and transformation initiatives.
Understanding of AI and machine learning concepts, especially GenAI technologies.
Strong writing and content creation skills.
Analytical skills for tracking KPIs and reporting on program effectiveness.
Excellent communication and interpersonal skills.
Ability to thrive in a fast-paced, dynamic environment and adapt to changing priorities.

Nice To Haves

Experience in highly regulated industries (e.g., financial services) is a plus.

Responsibilities

Training Development and Delivery Assist in designing and implementing training programs and content tailored to diverse roles and business units, ensuring employees are equipped to utilize GenAI tools effectively.
Support the development and maintenance of digital learning environments, optimizing content management workflows for scalable training delivery.
Keep training content current by integrating the latest GenAI advancements.
Work with subject matter experts to ensure accuracy and relevance of content.
Change Management & Transformation Support change management strategies to drive GenAI adoption, addressing barriers such as resistance or lack of understanding through targeted communication and engagement.
Foster a culture of innovation and continuous learning, encouraging employees to embrace new capabilities.
Performance Measurement and Optimization Track and analyze key performance metrics to measure the effectiveness of training and change initiatives.
Contribute to continuous improvement efforts by identifying areas for optimization and reporting on program impact.
Communication Strategy Partner with corporate and business unit communications to execute internal communication plans, keeping the organization informed about training opportunities and program updates.
Stakeholder Management Build relationships with key stakeholders, communicating program goals and outcomes.
Support alignment across diverse groups to achieve GenAI objectives.
Risk Management Ensure training initiatives comply with company policies, regulatory requirements, and ethical guidelines.
Understanding and communication to users of common Generative AI risks (e.g., hallucinations, bias, data privacy concerns), and ability to identify potential pitfalls users may encounter.