AI Product Manager – MSIM – Associate / Senior Associate

Morgan Stanley•New York, NY

3d•$110,000 - $140,000

About The Position

AI Product Manager – MSIM – Associate / Senior Associate 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 AI-based solutions. This role will liaise with and actively influence business areas, working with Investment Teams, Sales & Marketing, Client Services, Control functions, Central AI teams and support functions to accelerate the adoption of AI.

Requirements

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.)

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.
Governance & Controls: 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.

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