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 (CSR), a team that partners across Wealth Management to efficiently mitigate risk by applying sound judgment and providing consistent, trusted advice aligned with Firm values and strategy. This role will help shape how responsible AI is embedded into Wealth Management supervisory and risk workflows. This role sits at the intersection of AI implementation, product enablement, and supervision. The successful candidate will help identify high-impact use cases, translate risk and supervisory processes into AI-enabled workflows, and partner with Technology, Legal, Compliance, and Risk to deliver solutions that are useful, controlled, auditable, and scalable.

This role is well suited for candidates with backgrounds in AI product management, AI governance, risk technology, model risk, compliance transformation, supervisory technology, business analysis, or program delivery in a regulated environment.

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

• Consult with the business to identify high-impact AI use cases and develop product strategies for AI-enabled capabilities 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.
• Define adoption, quality, and risk metrics to measure whether AI-enabled capabilities are improving consistency, efficiency, and control outcomes.
• Act as a consultant for the design and buildout of AI/LLM-enabled capabilities to improve efficiency and consistency in supervisory processes, while maintaining adherence to Firm and regulatory requirements.
• Collaborate across functions to define controls for prompt design, output review, disclosure, and auditability of AI-generated content and decisions.
• Partner on 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.
• Develop reusable playbooks, testing templates, prompt evaluation criteria, rollout materials, and governance artifacts to accelerate delivery across CSR use cases.
• Manage project delivery, stakeholder engagement, and integration of AI tools into existing risk workflows, coordinating with business partners, Legal, Compliance, Technology, and Risk teams to ensure successful adoption and alignment.
• Monitor AI content performance and risk indicators to ensure responsible AI principles are embedded.

Qualifications

• Experience delivering, integrating, or operationalizing AI/ML or LLM-enabled solutions in real-world workflows, either as a product owner, implementation lead, governance lead, risk partner, or technology partner. Hands-on model development experience is a plus.
• 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 suite.

Preferred Experience

• Experience partnering with technology teams on AI tool integration and governance.
• Hands-on model development, prompt evaluation, or AI performance monitoring experience.
• Willingness to obtain FINRA supervisory licenses.

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.

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Expected base pay rates for the role will be between $120,000 and $170,000 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.

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