AI Product Manager

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. This is a Technology Admin Office III position at the Director Level, which is part of the job family responsible for managing administrative tasks related to technology infrastructure and services, ensuring smooth operations and support for the organization's technology needs. Morgan Stanley is an industry leader in financial services, known for mobilizing capital to help governments, corporations, institutions, and individuals around the world achieve their financial goals. Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on. This role is a Director-level AI Product Manager within the Technology COO organization, supporting the Firm's GenAI strategy through data, reporting, and insights. Sitting within a central AI-native team, the role focuses on building visibility into GenAI adoption, usage, governance, and business impact across the Firm. We are looking for builders who love to build-people who are energized by turning ideas, data, and hypotheses into practical products, dashboards, prototypes, and insights. The ideal candidate is customer-driven, hands-on, and motivated by helping the Firm accelerate its AI transformation through scalable data products and actionable insights. The individual will work across business stakeholders and teams including GenAI governance, Finance, Legal, Internal Audit, HR, Technology, and Infrastructure to turn GenAI data into actionable insights. This role combines product management, data analytics, and GenAI strategy execution, and is suited to candidates who are comfortable working hands-on with data, identifying patterns, using AI-enabled tools, and prototyping ideas that can become real products or workflow improvements. What You’ll Do In The Role Support product strategy and execution for GenAI data, reporting, and insight capabilities across the Firm. Define and maintain GenAI data standards, KPIs, and reporting requirements. Produce dashboards and analyses that measure adoption, usage, governance, and business impact. Identify trends, gaps, and hypotheses in GenAI data to inform actions that improve adoption and value realization. Turn ideas, user needs, and data insights into practical product concepts, prototypes, dashboards, and workflow improvements. Partner with platform and Infrastructure teams to improve data pipelines, reporting architecture, and data quality. Translate complex data into clear insights for senior stakeholders to support decision-making, accountability, and execution. Use AI-enabled tools to accelerate analysis, prototype ideas, and improve team workflows. Maintain a customer-driven approach by understanding stakeholder needs and translating them into useful, scalable solutions. What You’ll Bring To The Role Bachelors degree in Computer Science, Engineering, Business or related discipline 3+ years of experience in product management, analytics, data strategy, business intelligence, engineering, or related roles in a large, complex organization. Experience supporting dashboards, reporting platforms, analytics solutions, or data products used for business decision-making. Strong analytical skills and data instinct, with the ability to identify patterns, form hypotheses, and turn data into actionable insights. Ability to translate business priorities into product requirements, data definitions, KPIs, and reporting outputs. Builder mindset with a strong desire to turn ideas, insights, and hypotheses into practical products, dashboards, prototypes, or workflows. Customer-driven approach, with the ability to understand stakeholder needs and translate them into useful, scalable solutions. Strong stakeholder management and communication skills across business and technology teams. Strong interest in GenAI, AI-enabled product development, and hands-on use of AI tools to improve analysis and execution. Bias toward execution, ownership, and continuous improvement in support of the Firm's AI transformation. Preferred Qualifications Familiarity with GenAI strategy, adoption measurement, governance, or portfolio reporting. Experience with SQL, Python, Tableau, Power BI, or similar tools. Familiarity with data governance, KPI design, and data quality practices. Experience building prototypes, internal tools, dashboards, workflow solutions, or AI-related products is a plus. Data science background is a plus. 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 into your browser. Expected base pay rates for the role will be between $120,000 and $165,000 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: #J-18808-Ljbffr Socket.dev