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MS
Morgan Stanley
Equity Research, Vice President, Technology Management (Alpharetta)
Career Insights for Vice President of Engineering
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What they do
A Vice President of Engineering is responsible for providing leadership in planning, establishing and directing all aspects of the company's engineering policies, objectives and initiatives based on product and profitability goals. Responsible for supplying and maintaining adequate resources for Engineering functions in the pursuit of the company's strategic goals and operational plans.
$198,767 / year median in Georgia
+18% projected growth
Job Description
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.
- 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.