Company Profile:
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.

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.

Division Profile:
The Wealth Management GenAI Team is a dynamic and innovative department that serves as a center of AI enablement across Wealth Management. The team is responsible for deploying advanced tools, platforms, and solutions that utilize generative artificial intelligence to optimize business processes. We oversee content creation, management, and governance to ensure the highest content quality for our AI system to utilize. The team is committed to fostering a culture of continuous learning and evolution in this rapidly changing space. Position Summary
We are seeking a highly motivated AI@MS Technical Business Analyst to support the development, testing, and release of Generative AI products within Morgan Stanley. This role will focus on execution, coordination, and validation activities across the product lifecycle, including UAT support, release readiness, squad operations, and post-deployment verification. The AI@MS Technical Business Analyst will work closely with the Product Owners, technology teams, QA, and business stakeholders to ensure high-quality and timely delivery of product releases.

This role requires flexibility, creativity in problem solving, and the ability to identify and implement operational efficiencies that improve both advisor and client experiences. Success in this position requires diligence, attention to detail, and a collaborative mindset to work effectively with cross-functional partners and subject matter experts.

Key Responsibilities:
> Assist in managing squad-related activities such as defining epics, aligning user stories to epics, maintaining Jira hygiene, and supporting backlog organization
> Support User Acceptance Testing (UAT) and release validation activities during code freeze, including test execution, issue tracking, and sign-off coordination
> Partner with QA and technology teams to track defects, validate fixes, and ensure release readiness
> Support coordination of business checkouts, go/no-go decisions, and post-deployment verification activities
> Assist in planning and executing release activities, including preparation of release notes and support release communications to end users and stakeholders
> Help document requirements, dependencies, and assumptions in collaboration with the Product Owners and business teams
> Participate in agile ceremonies including backlog refinement, sprint planning, sprint reviews, and retrospectives
> Monitor post-release feedback and usage data to help identify issues, risks, and enhancement opportunities
> Work closely with technology to coordinate and plan product releases aligned to interdependent teams and relevant approvals
> Collaborate with UI/UX team to develop user flows, wireframes, and visual design

Experience:
> 3-5.5 years of professional experience as a business analyst, product analyst, or similar role, preferably in financial services
> Experience with Generative AI, machine learning, or data-driven technology initiatives preferred
> Experience supporting complex platform releases with multiple interdependent teams preferred
> Ideally, candidate will have experience with control, risk, or compliance considerations in enterprise technology platforms

Skills Required:
> Strong understanding of Agile delivery models and experience working with Jira
> Strong ability to understand and explain business requirements, user journeys, generative AI use cases, user stories, and epics
> Genuine interest and passion for learning generative AI
> Ability to analyze requirements, track dependencies, and manage execution-oriented tasks across multiple stakeholders
> Strong attention to detail with the ability to manage multiple workstreams concurrently
> Excellent written and verbal communication skills, with experience supporting stakeholder communications
> Ability to work collaboratively with product owners, developers, QA, and business users

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.

Morgan Stanley is an equal opportunities employer. We work to provide a supportive and inclusive environment where all individuals can maximize their full potential. Our skilled and creative workforce is comprised of individuals drawn from a broad cross section of the global communities in which we operate and who reflect a variety of backgrounds, talents, perspectives, and experiences. Our strong commitment to a culture of inclusion is evident through our constant focus on recruiting, developing, and advancing individuals based on their skills and talents.