Product Owner, FA Desktop AI Experience, Executive Director

Morgan Stanley•Purchase, NY

13d•$150,000 - $250,000

About The Position

Product Owner, FA Desktop AI Experience, Executive Director Wealth Management Platforms We are seeking an experienced Executive Director to serve as Product Owner for the FA Desktop AI Experience within the Field Experience & Platforms (FEP) organization. This role is focused on the development, integration, and adoption of AI capabilities (Generative, Agentic, etc.) across Financial Advisor (FA) and Virtual Client platforms, including partnering with broader groups within and outside of FEP as needed. This position is pivotal in advancing the advisor desktop ecosystem to drive measurable productivity gains, workflow efficiency, and enhanced client engagement. In this role, you will drive strategy, delivery, and scaling of AI-powered capabilities embedded directly into advisor platforms. Additionally, you will serve as a horizontal AI enablement leader—partnering with SMEs and peer platform owners to guide the consistent, scalable, and responsible implementation of AI solutions across the FA ecosystem. You will play a critical role in ensuring AI capabilities are intuitive, compliant, reusable, and aligned to enterprise standards, while delivering tangible business impact. About 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. Morgan Stanley is committed to helping its employees build meaningful careers and we strive to be a place for people to learn, achieve and grow. Department Overview In the Wealth Management division, we help people, businesses and institutions build, preserve, and manage wealth so they can pursue their financial goals Wealth Management (WM) Platforms manages industry-leading platforms, across all WM channels and client segments, to provide a unified digital experience, unlock growth, and deliver efficiencies for Advisors, Clients, and Institutions. WM Platforms consists of ten sub-teams including: Field Experience & Platforms, Digital Client Experience & Platforms, Workplace Platforms, Automation & Workflow, Digital Trading & Investing, Generative AI, UX Design & Research, Strategy & Execution, WM Platforms Risk, and the Chief Operating Office. What you’ll do in the role: Partner to define and execute the AI product vision, strategy, and roadmap for FA Desktop and Virtual Client platforms, aligning delivery to measurable business outcomes. Collaborate with platform owners, business stakeholders, and SMEs to identify and prioritize high-impact AI use cases that enhance advisor productivity and client servicing. Own and manage a prioritized pipeline of AI-enabled platform enhancements, balancing innovation, regulatory requirements, technical dependencies, and platform stability. Lead the end-to-end product lifecycle for AI capabilities—from ideation and requirements through development, testing, launch, adoption, and iterative refinement. Serve as a trusted AI advisor to peer platform owners, guiding teams on WM AI tools, reusable components, solution patterns, and governance processes. Advocate for scalable, reusable AI solutions that can be leveraged across CRM/Salesforce, Call Center integrations, enterprise AI initiatives, and adjacent advisor platforms. Facilitate alignment on major design decisions, including MVP scope, workflow integration, architecture considerations, and build vs. buy evaluations. Partner closely with Technology, UX, Business/Product, WM AI, and Legal/Compliance/Control (LCD) to ensure responsible and compliant AI deployment. Drive adoption strategies including pilot design, training enablement, engagement frameworks, and feedback loops to ensure sustained utilization. Establish KPIs tied to productivity, efficiency, engagement, and ROI; monitor usage and performance metrics to guide continuous improvement and scaling opportunities. Address key AI deployment challenges—data quality, governance, model risk, architecture, and responsible AI—through the lens of advisor impact and enterprise standards. Skills Required: Over 10 years of experience in product management, platform leadership, or technology strategy within financial services or similar industry. Proven track record of owning and delivering complex, cross-functional platform capabilities that drive measurable business outcomes. Knowledge of AI capabilities, particularly Generative AI, AI agents, and enterprise AI deployment patterns. Experience embedding AI capabilities into production workflows within large-scale platforms. Strong understanding of Wealth Management and Financial Advisor workflows preferred. Familiarity with CRM ecosystems (e.g., Salesforce) and integrated desktop environments. Knowledge of Responsible AI, model risk management, data governance, and regulatory control frameworks. Demonstrated ability to influence peer product owners, SMEs, and development teams without direct authority. Strong experience with Agile SDLC practices, backlog governance, and enterprise prioritization. Exceptional communication skills, with the ability to translate complex technical concepts into clear business value for diverse audiences. Proven ability to operate effectively within a highly matrixed, global organization across time zones. 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 $150,000 and $250,000 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).

Requirements

Over 10 years of experience in product management, platform leadership, or technology strategy within financial services or similar industry.
Proven track record of owning and delivering complex, cross-functional platform capabilities that drive measurable business outcomes.
Knowledge of AI capabilities, particularly Generative AI, AI agents, and enterprise AI deployment patterns.
Experience embedding AI capabilities into production workflows within large-scale platforms.
Strong understanding of Wealth Management and Financial Advisor workflows preferred.
Familiarity with CRM ecosystems (e.g., Salesforce) and integrated desktop environments.
Knowledge of Responsible AI, model risk management, data governance, and regulatory control frameworks.
Demonstrated ability to influence peer product owners, SMEs, and development teams without direct authority.
Strong experience with Agile SDLC practices, backlog governance, and enterprise prioritization.
Exceptional communication skills, with the ability to translate complex technical concepts into clear business value for diverse audiences.
Proven ability to operate effectively within a highly matrixed, global organization across time zones.

Responsibilities

Partner to define and execute the AI product vision, strategy, and roadmap for FA Desktop and Virtual Client platforms, aligning delivery to measurable business outcomes.
Collaborate with platform owners, business stakeholders, and SMEs to identify and prioritize high-impact AI use cases that enhance advisor productivity and client servicing.
Own and manage a prioritized pipeline of AI-enabled platform enhancements, balancing innovation, regulatory requirements, technical dependencies, and platform stability.
Lead the end-to-end product lifecycle for AI capabilities—from ideation and requirements through development, testing, launch, adoption, and iterative refinement.
Serve as a trusted AI advisor to peer platform owners, guiding teams on WM AI tools, reusable components, solution patterns, and governance processes.
Advocate for scalable, reusable AI solutions that can be leveraged across CRM/Salesforce, Call Center integrations, enterprise AI initiatives, and adjacent advisor platforms.
Facilitate alignment on major design decisions, including MVP scope, workflow integration, architecture considerations, and build vs. buy evaluations.
Partner closely with Technology, UX, Business/Product, WM AI, and Legal/Compliance/Control (LCD) to ensure responsible and compliant AI deployment.
Drive adoption strategies including pilot design, training enablement, engagement frameworks, and feedback loops to ensure sustained utilization.
Establish KPIs tied to productivity, efficiency, engagement, and ROI; monitor usage and performance metrics to guide continuous improvement and scaling opportunities.
Address key AI deployment challenges—data quality, governance, model risk, architecture, and responsible AI—through the lens of advisor impact and enterprise standards.