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Conversational and Generative Data AI Specialist

Morgan Stanley
2 days ago
Full-time
On-site
Purchase, New York, United States
$85,000 - $140,000 USD yearly
ML & AI Engineering

Conversational and Generative Data AI Specialist - AVP

Wealth Management Platforms
Purchase, NY

Morgan Stanley are seeking a highly skilled and motivated Conversational and Generative Data AI Specialist. The Conversational and Generative AI Data Specialist will play a crucial role in supporting the construction, analysis, and refinement of natural language datasets that power multiple conversational and generative AI products and solutions.

The ability to practically apply and communicate conversational and generative AI concepts to a financial services audience is pivotal in this role. The ideal candidate will have a sharp understanding of natural language processing/understanding, data annotation management, conversation design, prompt engineering, and other related concepts. They must be able to distill complex technical insights into clear, actionable guidance for stakeholders and users with varying levels of technical expertise.

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.

What you’ll do in the role:

Data and Annotation Management.

  • Develop clear, consistent annotation guidelines that ensure high-quality labeled data across multiple diverse use cases.
  • Manage end-to-end annotation workflows, including task onboarding, annotator support, annotation quality assurance, and performance monitoring.
  • Analyze annotation output to detect patterns, ambiguities, and failure modes, and adjust guidelines or processes accordingly.

Performance Reporting and Feedback Analysis.

  • Communicate annotation insights and dataset quality metrics to both technical and non-technical stakeholders to inform modeling decisions and product direction.
  • Recommend process or guideline adjustments based on recurring insights and performance trends.
  • Translate qualitative and quantitative feedback into clear recommendations for improving datasets, product behavior, and model performance.


Skills Required:

  • Proven experience annotating, managing, and evaluating datasets in conversational AI (chatbots, dialogue systems, voice assistants such as Alexa or Google Assistant) and/or generative AI (prompt engineering, generative AI evaluation) contexts.
  • Bachelor’s degree in linguistics, computational linguistics, data science, or related field.
  • Familiarity with extracting qualitative and quantitative insights from large natural language corpora.
  • Ability to function and collaborate within a diverse, cross-functional global organization.
  • Demonstrated ability to communicate data-driven insights and recommendations to technical and non-technical stakeholders.
  • Past applicable experience in finance, wealth management, or retail/investment banking.
  • Basic competency in programming languages commonly used in data analysis, such as SQL and Python.
  • Hands-on experience building a generative AI product.

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 $85,000 and $140,000 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.