We’re seeking someone to join our team as a Senior Business Analyst – AI Adoption & Enablement to support the adoption, integration, and operationalization of enterprise AI capabilities across business and technology organizations.
This role supports enterprise AI transformation by enabling the effective adoption and integration of generative AI capabilities across business and technology organizations. Success depends on driving sustainable adoption, operational readiness, and measurable business value through close partnership with business users, technology teams, and governance stakeholders. The role emphasizes aligning AI capabilities to real‑world workflows, compliance expectations, and business outcomes in complex enterprise environments.
In the Technology division, we leverage innovation to build the connections and capabilities that power our Firm, enabling our clients and colleagues to redefine markets and shape the future of our communities. This is a Lead Cloud & Infrastructure Engineering position at Vice President level, which is part of the job family responsible for managing and optimizing technical infrastructure and ensuring the seamless operation of IT systems to support business needs effectively.
Since 1935, Morgan Stanley is known as a global leader in financial services, always evolving and innovating to better serve our clients and our communities in more than 40 countries around the world.
Interested in joining a team that’s eager to create, innovate and make an impact on the world? Read on…
What you'll do in the role:
Partner with business stakeholders to identify, assess, and prioritize AI use cases and workflow transformation opportunities through discovery sessions, stakeholder interviews, and process analysis.
Analyze existing workflows and operational processes to identify pain points, AI‑enabled improvement opportunities, and areas of friction impacting adoption and user experience.
Gather, document, and refine business, functional, and operational requirements, translating business needs into structured requirements, user stories, process flows, and implementation documentation.
Evaluate AI platforms, productivity tools, and emerging AI capabilities by comparing features, strengths, limitations, and alignment to business and operational requirements.
Support the evaluation and operationalization of AI solutions such as ChatGPT, Copilot, and related generative AI capabilities within enterprise environments.
Collaborate with technology, governance, security, legal, and data protection teams to ensure AI use cases align with enterprise policies, regulatory expectations, and responsible AI guidelines.
Define, track, and report on