AI Adoption, Training & Communications Analyst

Reposted Yesterday
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2 Locations
In-Office
85K-120K Annually
Senior level
Fintech • Financial Services
The Role
Lead delivery of Generative AI and AI-enabled solutions: gather requirements, design and build LLM-based applications, APIs, integrations, and workflow automation. Manage end-to-end project delivery, enforce governance/security/Responsible AI, monitor KPIs, and coordinate cross-functional teams to drive adoption and business outcomes.
Summary Generated by Built In

Introducing Morgan Stanley at Work:

We know a lot about investing and are certain there’s no better investment a company can make than in its employees. People don’t just drive a company; they are the company. So, when people work at their best, companies do too. Morgan Stanley at Work, a division of Morgan Stanley Wealth Management, provides workplace financial solutions that build employee financial confidence, foster loyalty and help our corporate clients attract and retain top talent. Our end-to-end offerings span Equity, Financial Wellness and Retirement Solutions. Plus, we provide all employees with Financial Empowerment, so they have the knowledge, tools and support needed to make the most of their workplace financial benefits.

What you’ll be part of – our Morgan Stanley at Work culture:

At Morgan Stanley at Work, we walk-the-talk. We have created a place for our employees to learn, achieve and grow – a place for people to build a career where you can thrive both personally and professionally. We are passionate about exceeding our clients’ expectations and helping them succeed. We are fearless in taking on new challenges that deliver exceptional results. We believe amazing things can happen when we work together in an environment where everybody has a true sense of belonging and their ideas are heard.

We value differences and are committed to providing a work environment where our people can do their best work. We are looking for people who are problem solvers, empathetic listeners, team players and inclusive leaders. We are committed to your growth and development, and your entire employee experience. We recognize that our people and culture are the keys to our success. We invite you to explore how you can be an integral part of our team.

Key Responsibilities

Training, Learning & AI Adoption

  • Develop, maintain, and deliver training materials designed to increase AI literacy, engagement, and adoption across Morgan Stanley at Work.
  • Support the design and execution of blended learning programs, including live trainings, Mobile Labs, small group sessions, recorded learning content, reference materials, quick guides, FAQs, and related collateral.
  • Present at large-scale events and facilitate interactive learning sessions for diverse audiences across business functions.
  • Tailor training approaches to maximize impact, leveraging varied learning styles, audience needs, business priorities, and role-specific use cases.
  • Identify AI training needs across Morgan Stanley at Work functions, including Relationship Managers, Service Managers, Business Development, and other key stakeholder groups.

Communications, Engagement & Change Management

  • Lead and support communications to the organization regarding trainings, learning opportunities, AI capabilities, adoption priorities, and related initiatives.
  • Create compelling communication materials to drive awareness, registration, participation, and engagement in training programs.
  • Support change management activities that drive awareness, readiness, adoption, and sustained engagement across impacted user groups.

Responsible AI Usage & Governance Awareness

  • Reinforce appropriate, responsible, and compliant use of AI tools in alignment with Firm policies, training guidance, approved use cases, and applicable procedures.
  • Help ensure training materials and communications promote responsible AI engagement, including awareness of approved tools, appropriate use, data handling expectations, and escalation pathways where applicable.
  • Partner with appropriate internal stakeholders to ensure AI-related training content and communications are consistent with current Firm guidance.

Project Planning & Delivery Management

  • Create and maintain detailed project plans, training timelines, and executive summaries for Morgan Stanley at Work Senior Management and ASI Leadership.
  • Partner with Training Specialists, Learning & Development, Project Managers, Business Owners, Field Management, and ASI Team members to define scope, schedules, requirements, session topics, delivery mechanisms, success measures, and implementation plans.
  • Initiate, own, and drive projects from planning through execution, including proactive issue identification, escalation, and resolution.

Metrics, Reporting & Continuous Improvement

  • Analyze and report training and adoption metrics on a recurring basis, including completion, readiness, status, learning impact, feedback, user experience, escalations, and adoption trends.
  • Provide reporting on training effectiveness, engagement levels, field perspectives, adoption barriers, and opportunities to improve learner experience.

Qualifications

Minimum Qualifications

  • Bachelor’s degree in Finance, Business Administration, Business Management, Organizational Behavior, Communications, Learning & Development, or a related field.
  • Excellent written and verbal communication skills.
  • Confident, articulate, and professional presentation skills, including comfort presenting to large audiences.
  • Proven ability to support or deliver blended learning programs across multiple platforms and delivery formats.
  • Experience creating training materials, communication collateral, presentations, quick-reference guides, FAQs, or related learning content.
  • Strong project management, organizational, and time management skills.
  • Financial services industry experience.
  • Strong interest in AI, automation, emerging technologies, learning strategy, and business transformation.

Preferred Qualifications

  • Experience supporting learning, training, communications, change management, or adoption initiatives within a large organization.
  • Familiarity with AI, automation, digital transformation, workflow optimization, or technology enablement initiatives.
  • Experience developing communications or training plans for new tools, platforms, capabilities, or process changes.

WHAT YOU CAN EXPECT FROM MORGAN STANLEY:

At Morgan Stanley, we raise, manage and allocate capital for our clients – helping them reach their goals. We do it in a way that’s differentiated – and we’ve done that for 90 years.  Our values - putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back - aren’t just beliefs, they guide the decisions we make every day to do what's best for our clients, communities and more than 80,000 employees in 1,200 offices across 42 countries. At Morgan Stanley, you’ll find an opportunity to work alongside the best and the brightest, in an environment where you are supported and empowered. Our teams are relentless collaborators and creative thinkers, fueled by their diverse backgrounds and experiences. We are proud to support our employees and their families at every point along their work-life journey, offering some of the most attractive and comprehensive employee benefits and perks in the industry. There’s also ample opportunity to move about the business for those who show passion and grit in their work.

To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices​ into your browser.

New York only: Expected base pay rates for the role will be between $85,000 to $120,000 per year at the commencement of employment. However, base pay if hired will be determined on an individualized basis and is only part of the total compensation package, which, depending on the position, may also include commission earnings, incentive compensation, discretionary bonuses, other short and long-term incentive packages, and other Morgan Stanley sponsored benefit programs. 

Morgan Stanley is an equal opportunity employer committed to building and maintaining a workforce that is diverse in experience and background.  Our recruiting efforts reflect our strong commitment to a culture of inclusion, where individuals are hired, developed, and advanced based on their skills and talents.

Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

For more information, please visit: https://www.morganstanley.com/people-opportunities/eeo.

Skills Required

  • 6+ years of experience in software development, technical analysis, solution delivery, or data integration.
  • Experience building or supporting Generative AI, LLM, AI automation, or intelligent workflow solutions.
  • Strong requirements gathering and business analysis skills (translate business needs into technical solutions).
  • Experience with SQL.
  • Data modeling experience.
  • ETL / data integration experience.
  • Experience with relational databases.
  • Proficiency in Python.
  • Experience with APIs, application development, and system integrations.
  • Knowledge of Agile methodologies, SDLC, DevOps practices, CI/CD, and source control tools.
  • Understanding of security, data privacy, governance, risk, and compliance requirements.
  • Excellent communication and stakeholder management skills.
  • Bachelor's degree (or equivalent experience) in Computer Science, Engineering, Business, Finance, or related field.
  • Experience with Kubernetes.
  • Experience with FastAPI or Flask.
  • Experience with LangChain or LangGraph.
  • Experience with vector databases and RAG.
  • Experience with enterprise search.
  • Knowledge of Azure, Snowflake, Tableau, Power BI, or Dataiku.
  • Familiarity with AI governance, LLMOps, automation/RPA, and cloud-native technologies.
  • Financial services experience.

Morgan Stanley Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Morgan Stanley and has not been reviewed or approved by Morgan Stanley.

  • Parental & Family Support — Family support is extensive, with paid parental leave for all parents, adoption and fertility assistance, backup childcare, and eldercare resources. Feedback suggests these programs meaningfully enhance the overall package and help with retention.
  • Healthcare Strength — Health coverage spans medical, dental, vision, mental‑health access, care navigation, and expert second opinions. Convenient primary care access and condition‑specific support reinforce the depth of healthcare coverage.
  • Equity Value & Accessibility — Equity compensation and stock ownership are positioned as core motivators that encourage commitment and retention. Feedback suggests education and support are provided to help participants manage equity and related financial benefits.

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The Company
HQ: New York, NY
87,899 Employees

What We Do

Morgan Stanley mobilizes capital to help governments, corporations, institutions and individuals around the world achieve their financial goals. For over 85 years, the firm’s reputation for using innovative thinking to solve complex problems has been well earned and rarely matched. A consistent industry leader throughout decades of dramatic change in modern finance, Morgan Stanley will continue to break new ground in advising, serving and providing new opportunities for its clients. Morgan Stanley is committed to maintaining the first-class service and high standard of excellence that have always defined the firm. At its foundation are five core values — putting clients first, doing the right thing, leading with exceptional ideas, committing to diversity and inclusion, and giving back — that guide its more than 60,000 employees in 1,200 offices across 41 countries.

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