
Leading company in the financial services industry
AI Enablement Associate
AI Enablement Associate:
Wealth Management Platforms:
Purchase, NY
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.
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.
What you’ll do in the role:
- Support the rollout and scaling of approved AI tools and AI Agents across Financial Advisor and WM teams.
- Assist in delivering hands‑on engagement, including workflow walkthroughs, office hours, and training sessions with Financial Advisors and their teams.
- Help document advisor workflows, pain points, and use cases, and translate them into clear requirements and adoption materials.
- Coordinate day‑to‑day activities for adoption initiatives, including scheduling, content preparation, tracking actions, and follow‑ups.
- Contribute to the creation and maintenance of adoption assets such as how‑to guides, prompt libraries, use‑case catalogs, and training materials.
- Support deployment, testing, and iteration of AI Agents and automation solutions alongside product and engineering partners.
- Collect and synthesize user feedback to identify adoption gaps, enhancement opportunities, and common issues.
- Help track adoption metrics and usage trends; assist in preparing summaries and reports for senior stakeholders.
- Collaborate with cross‑functional partners including product, engineering, legal, risk, compliance, and WM business teams to ensure smooth execution.
- Support field activation programs such as champions/captains networks, agent jams, prompt‑a‑thons, and training events.
- Expected travel: within US, up to 80%, based on business needs
Skills Required:
- 2–5+ years of experience in financial services, consulting, operations, technology, product, or change management roles.
- Exposure to Wealth Management, Financial Advisors, or client‑facing teams preferred.
- Bachelor’s degree required.
- Strong interest in AI, automation, and workflow improvement in a regulated environment.
- Demonstrated ability to manage multiple tasks, coordinate stakeholders, and execute reliably.
- Strong analytical, written, and verbal communication skills.
- Execution and follow‑through.
- Curiosity and learning mindset around AI and emerging technologies.
- Structured problem solving.
- Stakeholder coordination and teamwork.
- Clear communication and documentation.
- Adaptability in ambiguous, fast‑moving environments.
- Ability to translate complex technical solutions to a non-technical audience.
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.
Expected base pay rates for the role will be between $58,000 and**$115,000 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's goal is to build and maintain a workforce that is diverse in experience and background but uniform in reflecting our standards of integrity and excellence. Consequently, our recruiting efforts reflect our desire to attract and retain the best and brightest from all talent pools. We want to be the first choice for prospective employees.
It is the policy of the Firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, sex stereotype, gender, gender identity or expression, transgender, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy, veteran or military service status, genetic information, or any other characteristic protected by law.
Morgan Stanley is an equal opportunity employer committed to diversifying its workforce (M/F/Disability/Vet).
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Morgan Stanley 소개

Morgan Stanley
PublicMorgan Stanley is an American multinational investment bank and financial services company headquartered at 1585 Broadway in Midtown Manhattan, New York City.
10,001+
직원 수
New York
본사 위치
$150B
기업 가치
리뷰
10개 리뷰
4.1
10개 리뷰
워라밸
2.8
보상
4.2
문화
3.7
커리어
4.1
경영진
2.9
75%
지인 추천률
장점
Great learning opportunities and experience
High salary and bonuses
Good team dynamics and supportive colleagues
단점
Long hours during peak times
High stress and overwhelming environment
Work-life balance issues
연봉 정보
6,221개 데이터
Junior/L3
Director
Junior/L3 · Operations Analyst
441개 리포트
$83,240
총 연봉
기본급
$76,802
주식
-
보너스
$6,438
$60,778
$115,186
면접 후기
후기 6개
난이도
3.2
/ 5
소요 기간
21-35주
면접 과정
1
Application Review
2
HR Screen/HireVue
3
Technical/Behavioral Interviews
4
Superday/Final Round
5
Onsite Interview
6
Offer Decision
자주 나오는 질문
Technical Knowledge
Behavioral/STAR
Investment/Finance Concepts
Case Study
Culture Fit
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