Vice President - Product Owner, AI Development Platform at Morgan Stanley

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

05 Apr, 26

Salary

210000.0

Posted On

05 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Product Management, AI, Machine Learning, Generative AI, Stakeholder Management, Cloud Services, Technical Debt, Application Development, Python, Information Security, Responsible AI, AI Ethics, Data Governance, Architecture, Collaboration, Communication

Industry

Financial Services

Description

We’re seeking someone to join our team as an experienced Product Owner that will be responsible for building out a firmwide AI Development Platform and driving adoption of AI capabilities throughout the enterprise. Morgan Stanley has been at the forefront of the AI journey building applications that use AI to provide better, personalized advice to our clients. Generative AI provides further unique opportunities to provide new capabilities to the firm's internal users as well as our clients. The ideal candidate will have strong knowledge of AI and ML capabilities including Generative AI. As a Product Owner, you will come in with a strong understanding of the overall capabilities required to successfully deploy AI applications such as AI models, cloud service provider capabilities, 3rd party vendor capabilities, vector databases etc. The candidate will have a strong passion for helping our users use AI to increase productivity as well as help generate new ideas for product improvements. This role requires a strong understanding of the technical capabilities, available features and the cost of deploying AI solutions. The successful candidate must be able to demonstrate strong leadership, ownership and accountability of the platform and products. In the Technology division, 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. Since 1935, Morgan Stanley is known as a global leader in financial services, continuously evolving and innovating to better serve our clients and our communities in more than 40 countries around the world. Responsibilities Partner with business application teams to understand their requirements for Generative AI Platform Capabilities Manage a pipeline of new features, prioritize bug fixes, prioritize and address technical debt and other streams of work required to build and maintain the platform, and achieve consensus amongst multiple stakeholder groups on platform priorities Proactively manage stakeholders and customers' expectations on deliverables Build road maps for delivery of capabilities in conjunction with the engineering team for external and internal communication of platform vision, priorities, and committed deliverables Have a platform mindset and drive common, reusable solutions to scale Generative AI use cases Seek out consensus to major design decisions and product selection (build vs buy, 3rd party Vendor vs Open Source etc.) for building Generative AI platforms and solutions Author best practices on the Generative AI ecosystem, when to use which tools, available models such as GPT, Llama, Hugging Face etc. and libraries such as Langchain Understand and talk about the major challenges in this field related to Gen AI models, Data, Governance, Architecture etc. Required Skills Bachelor's or Master's degree in Computer Science or related field, or equivalent job 10+ years of experience in software development/ software product management or related field 10+ years of experience owning a product, balancing various stakeholder groups in a large enterprise environment Proven experience leveraging JIRA, Roadmunk, PowerPoint, Excel, or other productivity applications to effectively communicate product capabilities and delivery timelines Deep understanding of the AIML domain in general, latest developments and trends in Generative AI Understanding of AIML/GenAI capabilities on the major cloud providers, such as Azure, AWS, GCP Understanding of Responsible AI, AI Ethics and ability to articulate technical concepts effectively to diverse audiences Familiar with Information Security, concepts such as Defense in depth and zero trust Previous hands-on Application Development background in at least one prominent programming language, preferably Python Strong desire and ability to influence development teams and help them adopt AI Experience working in a large and regulated industry such as Financial Services, Insurance etc. and demonstrated ability to work effectively in a global organization and across time zones WHAT YOU CAN EXPECT FROM MORGAN STANLEY: We are committed to maintaining the first-class service and high standard of excellence that have defined Morgan Stanley for over 89 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 $150,000 and $210,000 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).

Responsibilities

The Vice President - Product Owner will partner with business application teams to understand their requirements for the Generative AI Platform and manage a pipeline of new features. They will also build road maps for delivery of capabilities and drive common, reusable solutions to scale Generative AI use cases.