Thinking Machines LabRemote · San Francisco$350k-$475k1d
Morgan StanleyPosted 2w ago
Equity Research, Vice President, Technology Management (Alpharetta) at Morgan Stanley scores 67 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
Research Technology Management – Vice President, AI Enablement Lead (Alpharetta)
Morgan Stanley Global Research is seeking a Vice President to serve as AI Enablement Lead within the Research Technology Management (RTM) organization. The AI Enablement Lead will be responsible for driving the practical adoption, development, governance, and optimization of generative AI and related AI capabilities across Global Research.
The role will lead the department’s dedicated AI Enablement team, currently comprising five Prompt Engineers and four Annotators, and will operate at the intersection of Research, technology, data, AI/modeling, product management, training, and governance.
The AI Enablement Lead will be responsible for translating the needs of Global Research analysts and teams into scalable, compliant, high-value AI solutions. The role will oversee the complete enablement lifecycle—from identifying and prioritizing use cases through requirements definition, solution development, evaluation, deployment, adoption, measurement, and ongoing support.
The successful candidate will combine a strong understanding of financial services and investment research workflows with hands-on AI and technical capabilities, product and project management experience, and demonstrated leadership skills. The individual must be comfortable operating both strategically and tactically: establishing an AI enablement framework and roadmap for the department while also contributing directly to solution design, prompt development, testing, evaluation, and implementation.
- Responsible for executing and shaping AI adoption strategy for Global Research, identifying and prioritizing high-value use cases and building a roadmap that improves analyst workflows, productivity, and research processes, defining the optimal balance of centrally developed tools vs custom solutions, team enablement and support of teams with ready-to-deploy AI assets.
- Lead the AI Enablement team (5 Prompt Engineers, 4 Annotators), setting priorities, managing delivery, developing talent, and driving best practices across generative AI initiatives.
- Translate Research needs into AI solutions, partnering with analysts, technology, data, and product teams to design, deploy, evaluate, and support scalable AI tools, prompts, and workflows.
- Drive AI governance and compliance, ensuring all AI solutions meet legal, risk, model governance, information security, and regulatory requirements within a highly controlled environment.
- Serve as the AI subject matter expert for Research, evaluating emerging AI technologies, optimizing platform/model usage, and advising stakeholders on the most effective applications of generative AI.
- Lead training, change management, and measurement efforts, increasing AI adoption through education, best practices, KPI tracking, user feedback, and reporting on business impact to senior leadership.
Ideal Background
- 5-10+ years in financial services, investment research, fintech, or related fields.
- Strong understanding of financial markets and research workflows.
- Hands-on experience with generative AI, prompt engineering, and Python.
- Proven team leadership, product/project management, and stakeholder management experience.
- Ability to bridge business, technology, and governance functions while driving enterprise AI initiatives.
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 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.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- Describe a typical day in a role like this one: which parts run through AI directly?
- If you removed AI from this role, what would be left, and how do you decide what still needs a human?
Adapt your resume
- List these exact terms on your resume: Prompt Engineering. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
Want your resume actually rewritten for this job?
The free preview above is everything we have today. A full resume rewrite is not live yet and has no price set. Join the waitlist and we will email you if we open it.
Get new AI jobs at AI Level 3+ by email
One email a week with the new AI jobs at AI Level 3+, each rated AI Level 1 to 4 for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Research roles rated AI Level 3 at other companies.
CloudflareHybrid$150k-$185k1w
CiscoSan Jose, California, US$216k-$281k1w
SalesforceCalifornia - San Francisco$399k-$453k1w
AnthropicSan Francisco, CA | New York City, NY | Seattle, WA$305k-$385k2w
FreenomeRemote · Brisbane, California$162k-$227k3w
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next stepMore jobs at Morgan Stanley
Morgan StanleyMontreal, Canada17h ago
Morgan StanleyNew York, New York, United States of America$70k-$115k17h ago
Morgan StanleyMontreal, Canada17h ago


