Morgan Stanley Logo

Morgan Stanley

Associate, Product Management

Reposted 7 Hours Ago
Be an Early Applicant
In-Office
New York, NY, USA
145K-150K Annually
Mid level
In-Office
New York, NY, USA
145K-150K Annually
Mid level
Deploy and govern generative AI use cases across the firm, establishing risk-based frameworks, policies, and controls. Coordinate with business units, technology teams, legal, compliance, risk, audit, and other stakeholders to ensure regulatory and policy alignment. Track project progress, manage risks and dependencies, support agentic AI implementations, and facilitate cross-functional delivery throughout the AI deployment lifecycle.
The summary above was generated by AI

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 https://www.morganstanley.com/about-us/global-offices​ 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: https://www.morganstanley.com/people-opportunities/eeo.

HQ

Morgan Stanley New York, New York, USA Office

1585 Broadway, New York, NY, United States, 10036

Morgan Stanley New York, New York, USA Office

522 5th Ave, New York, NY, United States

Similar Jobs

4 Hours Ago
Hybrid
New York, NY, USA
111K-138K Annually
Senior level
111K-138K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Own the product roadmap and strategy for Capital One Travel’s agent tooling ecosystem. Partner with engineering, design, servicing, and business teams to build agent workflows, improve servicing experiences, manage dependencies, prioritize agile backlogs, and deliver AI-enabled tooling enhancements. The role requires customer-centered problem solving, stakeholder influence, technical collaboration, and leadership of engineering delivery to reduce friction and enable proactive customer service.
Top Skills: AI
10 Days Ago
Hybrid
New York, NY, USA
101K-205K Annually
Senior level
101K-205K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Own the front-end platform for credit line management, including credit line increase requests and credit reallocation workflows. Define and prioritize product roadmaps, translate epics into features and user stories, develop acceptance criteria, conduct hypothesis-driven analysis, manage risk, and collaborate with designers, engineers, data scientists, and stakeholders in an agile environment to deliver customer-focused digital products.
Top Skills: Agile
10 Days Ago
Hybrid
New York, NY, USA
101K-138K Annually
Senior level
101K-138K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Leads development of legal technology products that modernize legal operations, streamline risk and compliance workflows, and support internal legal and business partners. Responsibilities include product research, roadmap and backlog prioritization, requirements definition, user journey mapping, stakeholder collaboration, and iterative delivery with engineering, data, risk, and legal teams. The role balances business goals, user needs, technical feasibility, and enterprise technology adoption.
Top Skills: AgileDesign Thinking

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account