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AI Product Manager - MSIM – Senior Associate

Morgan Stanley

New York (NY)

On-site

USD 110,000 - 140,000

Full time

Today
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Job summary

A leading global financial services firm is seeking an AI Product Manager to join their Data and Analytics team. This role involves driving AI adoption, managing projects, and collaborating with various teams to implement Generative AI solutions. The successful candidate will have a strong background in product management and AI technologies, and will play a key role in enhancing client services through innovative AI strategies.

Benefits

Comprehensive employee benefits
Diversity and inclusion initiatives
Opportunities for career growth

Qualifications

  • Experience with Generative AI strategy and product management.
  • Ability to manage multiple projects in a fast-paced environment.
  • Strong understanding of AI concepts and technologies.

Responsibilities

  • Drive AI adoption and manage business cases from inception to delivery.
  • Ensure GenAI projects adhere to regulatory standards.
  • Experiment with AI models and drive end-user pilots.

Skills

Generative AI strategy
Product management
Project management
Communication
Analytical skills
Leadership

Tools

Scrum
JIRA

Job description

Join to apply for the AI Product Manager - MSIM – Senior Associate role at Morgan Stanley

Join to apply for the AI Product Manager - MSIM – Senior Associate role at 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.

As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence, and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

Morgan Stanley Investment Management (MSIM) is one of the largest global asset management organizations of any full-service securities firm, with 45 offices serving clients in 19 countries. MSIM’s professionals worldwide provide outstanding long-term investment performance. We offer clients a diverse array of equity, fixed income, liquidity, and alternative investments, including merchant banking strategies.

The Data & Analytics team works closely with MSIM’s teams as well as related control and support departments to enhance, streamline and govern the flow of information as part of our ongoing relationships with our clients and our management of client assets. This is a critical activity to enable scalable growth of our business. A key focus area of the team is the enablement of AI in MSIM with the goals to drive client impact, profitability, cost efficiency and scale.

Position Overview

We are looking for a skilled and passionate teammate to join us in the Data and Analytics team at Morgan Stanley. The successful candidate will be responsible for partnering with business areas across MSIM to launch Generative AI-based solutions. This role will liaise with and actively influence business areas (e.g. portfolio managers/Investment Teams), control functions, central AI teams and support functions to accelerate the adoption of AI.

Key Responsibilities

  • Drive AI Adoption: Engage with MSIM teams to build, manage, prioritize and track AI business cases from inception to delivery. Identify KPIs and collect metrics to measure success of AI solutions. Act as the primary point of contact between MSIM and firmwide AI teams.
  • End to end governance: Ensure all GenAI projects adhere to regulatory and compliance standards by working in close partnership with Morgan Stanley’s control functions e.g. Legal, Risk and Compliance.
  • AI Experimentation: Experiment with the latest AI models and solutions available at Morgan Stanley. Drive end user pilots and collect feedback to deliver more effective AI solutions. Stay informed of latest AI trends and technologies and incorporate them into product strategy and development as appropriate.
  • Strategic Planning and Execution: Execute a strategic plan for the GenAI team, aligned with business goals. Monitor the performance and impact of GenAI use cases, providing regular updates to senior leaders globally.

Qualifications/Skills Required Or Preferred

  • Experience with and passion for Generative AI strategy / product management / experimentation or Innovation
  • Self-starter with the ability to work independently and as part of a team to leverage their network and knowledge base to define abstract concepts from inception
  • Demonstrated track record of effective partnership with and translation between business teams, control partners and IT
  • Ability to manage multiple projects simultaneously in a fast-paced environment.
  • Proven experience in program or project management
  • Strong understanding of artificial intelligence concepts and technologies.
  • Excellent communication, interpersonal and leadership skills.
  • Solid analytical and problem-solving abilities with a keen attention to detail
  • Appreciation of trade-offs when choosing between vendor solutions versus building in-house
  • Experience with agile development methodologies and tools (Scrum, JIRA, etc.)

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.

Expected base pay rates for the role will be between $110,000 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'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).

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Product Management and Marketing

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