Job description

Company Profile: Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment, 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. In Technology, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. What you’ll do in the role: Morgan Stanley Services Group Inc. is seeking an Associate, Product Management in New York, New York to deploy advanced systems that utilize generative artificial intelligence (GenAI) to optimize business processes, with a focus on overseeing governance and control measures to ensure the ethical and responsible use of AI technologies. Develop and execute an effective end-to-end process for governing GenAI use cases. Collaborate with Business Units, stakeholders across all three lines of defense including BU Risk, Model Risk Management, Legal and Compliance, and Internal Audit, and other Firmwide GenAI teams to ensure the safe, reliable and efficient implementation of GenAI use cases. Conduct thorough analysis to ensure alignment with organizational goals and objectives, including risk management principles. Partner with all three lines of defense to ensure GenAI use cases comply with regulatory standards and Firm policies. Support AI, Technology, and Third Party Governance Partners in establishing risk-based frameworks, policies and procedures that govern GenAI enablement, including the deployment of agentic AI solutions. Monitor project progress, proactively identify and address potential risks, issues, or dependencies, and implement mitigation strategies throughout the GenAI deployment lifecycle to ensure timely project rollout. Work with cross-functional teams to ensure project alignment and synergy. Contribute ideas to drive collaboration, innovation, and knowledge sharing across GenAI initiatives. Effectively communicate with internal stakeholders across Firmwide GenAI, product owners, technology teams, control partners, and BUs. Participate in meetings to provide updates, gather feedback, and address project-related issues. Use GenAI tools to perform key responsibilities. Telecommuting permitted up to 2 days per week. What you’ll bring to the role: -Requires a Bachelor's degree in Computer Science, Information Technology, or a related field of study. -Requires four (4) years of experience in the position offered or four (4) years as an Associate, Analyst, Data & Analytics Engineer, AI/ML Developer, or a closely related occupation. -Requires four (4) years of experience with the following skills: • project tracking using Agile and JIRA; • conversational AI vendor solution implementation using Kore.ai; • data collaboration and reporting using SQL; • system connectivity management using API Integration; • Project Management including cross-functional program delivery; • creating presentations using PowerPoint; and • using Excel for data tracking and analysis. -Requires three (3) years of experience with the following skills: • enterprise AI implementation using OpenAI Enterprise Solutions and Microsoft 365 GenAI Solutions; • AI workflow coordination using Agentic AI Orchestration; • AI data integration using Retrieval-Augmented Generation (RAG); • Prompt Engineering to optimize AI interactions; • Data Quality assurance to ensure accuracy and consistency of data used in AI projects; and Data governance for overseeing data use policies and compliance for artificial intelligence (AI) initiatives. 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 morganstanley.com into your browser. Expected base pay rates for the role will be between $145,000 and $150,000 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 : morganstanley.com .

Requirements

Must-haves

In Technology, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities.
-Requires a Bachelor's degree in Computer Science, Information Technology, or a related field of study.
-Requires four (4) years of experience in the position offered or four (4) years as an Associate, Analyst, Data & Analytics Engineer, AI/ML Developer, or a closely related occupation.
-Requires four (4) years of experience with the following skills:
project tracking using Agile and JIRA;
conversational AI vendor solution implementation using Kore.ai;
data collaboration and reporting using SQL;
system connectivity management using API Integration;
Project Management including cross-functional program delivery;
creating presentations using PowerPoint; and
using Excel for data tracking and analysis.
-Requires three (3) years of experience with the following skills:
enterprise AI implementation using OpenAI Enterprise Solutions and Microsoft 365 GenAI Solutions;
AI workflow coordination using Agentic AI Orchestration;
AI data integration using Retrieval-Augmented Generation (RAG);
Prompt Engineering to optimize AI interactions;
Data Quality assurance to ensure accuracy and consistency of data used in AI projects; and
Data governance for overseeing data use policies and compliance for artificial intelligence (AI) initiatives.
To learn more about our offices across the globe, please copy and paste https://www.morganstanley.com/about-us/global-offices into your browser.
Our workforce reflects a broad cross-section of the global communities in which we operate, bringing a variety of backgrounds, talents, perspectives, and experiences.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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