AI Implementation Enablement – Client Segment Risk - Vice President

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 ethics. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.

Morgan Stanley Wealth Management is seeking a Vice President to join Client Segment Risk. This role will be a key contributor to the group’s transformation, responsible for the design, development, implementation, and consolidated reporting of artificial intelligence (AI) solutions that enhance and streamline supervisory risk processes and controls across the organization. The successful candidate will combine strong technical execution with a practical understanding of supervision and risk management, partnering closely with Legal, Compliance, Technology, and Risk stakeholders to ensure solutions are effective, impactful, and appropriately controlled.

The successful candidate’s responsibilities will include, but not be limited to, the following: 

• Partner with the business to translate supervisory processes into clear, functional requirements and help implement solutions into existing tooling and workflows across Client Segment Risk.
• Manage the CSR AI use case intake and prioritization process, maintaining a consolidated pipeline/portfolio of initiatives, assessing viability/utility, and driving prioritization decisions in partnership with business owners.
• Act as a consultant for the design and buildout of AI/LLM-enabled capabilities to improve efficiency and consistency in supervisor processes, while maintaining adherence to firm and regulatory requirements.
• In consultation with the business, identify high-impact AI use cases, develop product strategies, and oversee delivery and integration of AI tools into existing risk workflows across client segment risk.
• Collaborate across functions to define controls for prompt design, output review, disclosure, and auditability of AI-generated content and decisions.
• Develop and maintain reusable delivery assets (templates/playbooks/best practices) for requirements, testing/validation, governance artifacts, rollout, and monitoring to accelerate throughput across multiple CSR AI use cases.
• Monitor AI content performance and risk indicators, including risks such as hallucinations, bias, toxicity, and misleading information, ensuring responsible AI principles are embedded.
• Lead AI governance execution for CSR use cases, including determining the appropriate governance pathway, coordinating submissions, driving artifact completion, and managing approvals and residual risk acceptance with stakeholders.
• Manage project delivery and stakeholder engagement, coordinating with business partners, Legal, Compliance, Technology, and Risk teams to ensure successful adoption and alignment.

Qualifications

• Demonstrated experience building, implementing, and operating AI/ML or large language model (LLM)-based solutions in real-world workflows.
• Experience implementing human-in-the-loop review systems and designing workflow user experiences that support oversight and control.
• Strong ability to explain AI outputs and risks to non-technical stakeholders and collaborate effectively across multiple functions.
• Prior Risk, Compliance, or Regulatory experience (minimum 2 years).
• Excellent analytical skills with strong attention to detail.
• Exceptional interpersonal, communication, and persuasion skills.
• Strong organizational, planning, and time management skills to manage competing priorities in a fast-paced environment.

Required Education, Licenses, and Qualifications

• Undergraduate degree or equivalent professional experience.
• Demonstrated proficiency with Generative Artificial Intelligence tools and AI risk management frameworks.
• Proficiency with Microsoft Office tools.

Preferred Experience

• Proven hands-on experience deploying AI/ML solutions in operational workflows, demonstrating the ability to translate AI capabilities into practical business applications.
• Experience partnering with technology teams on AI tool integration and governance.
• Prior experience in financial services or related regulated environments.
• Active FINRA Licenses: Series 7 required, and Series 24 preferred (or willingness to obtain Series 24).

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 $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: https://www.morganstanley.com/people-opportunities/eeo.